Triple
T7523949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spacelab 2 |
E177843
|
entity |
| Predicate | usedPayloadBay |
P77316
|
FINISHED |
| Object |
Space Shuttle payload bay
The Space Shuttle payload bay was the large, hinged cargo compartment in the orbiter’s fuselage used to carry satellites, laboratories, and other mission equipment into space.
|
E41065
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Space Shuttle payload bay | Statement: [Spacelab 2, usedPayloadBay, Space Shuttle payload bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Space Shuttle payload bay Context triple: [Spacelab 2, usedPayloadBay, Space Shuttle payload bay]
-
A.
Space Shuttle stack
The Space Shuttle stack was the fully assembled launch configuration of NASA’s Space Shuttle system, consisting of the orbiter, external fuel tank, and solid rocket boosters mounted together for liftoff.
-
B.
External Tank
The External Tank was the large orange-brown fuel tank of NASA’s Space Shuttle, supplying liquid hydrogen and liquid oxygen to the orbiter’s main engines during launch before being jettisoned to burn up in the atmosphere.
-
C.
Space Shuttle orbiter
The Space Shuttle orbiter was NASA’s reusable winged spacecraft that carried astronauts and cargo to and from low Earth orbit as part of the Space Shuttle program.
-
D.
Leonardo Permanent Multipurpose Module
The Leonardo Permanent Multipurpose Module is a repurposed Italian-built cargo module attached to the International Space Station to provide long-term storage and workspace.
-
E.
The Shuttle
"The Shuttle" is a 1907 novel by Frances Hodgson Burnett that explores transatlantic marriages between wealthy American women and impoverished British aristocrats, highlighting themes of power, class, and female resilience.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Space Shuttle payload bay Triple: [Spacelab 2, usedPayloadBay, Space Shuttle payload bay]
Generated description
The Space Shuttle payload bay was the large, hinged cargo compartment in the orbiter’s fuselage used to carry satellites, laboratories, and other mission equipment into space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Space Shuttle payload bay Target entity description: The Space Shuttle payload bay was the large, hinged cargo compartment in the orbiter’s fuselage used to carry satellites, laboratories, and other mission equipment into space.
-
A.
Space Shuttle stack
The Space Shuttle stack was the fully assembled launch configuration of NASA’s Space Shuttle system, consisting of the orbiter, external fuel tank, and solid rocket boosters mounted together for liftoff.
-
B.
External Tank
The External Tank was the large orange-brown fuel tank of NASA’s Space Shuttle, supplying liquid hydrogen and liquid oxygen to the orbiter’s main engines during launch before being jettisoned to burn up in the atmosphere.
-
C.
Space Shuttle orbiter
chosen
The Space Shuttle orbiter was NASA’s reusable winged spacecraft that carried astronauts and cargo to and from low Earth orbit as part of the Space Shuttle program.
-
D.
Leonardo Permanent Multipurpose Module
The Leonardo Permanent Multipurpose Module is a repurposed Italian-built cargo module attached to the International Space Station to provide long-term storage and workspace.
-
E.
The Shuttle
"The Shuttle" is a 1907 novel by Frances Hodgson Burnett that explores transatlantic marriages between wealthy American women and impoverished British aristocrats, highlighting themes of power, class, and female resilience.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPayloadBay Context triple: [Spacelab 2, usedPayloadBay, Space Shuttle payload bay]
-
A.
cargoBayLength
Indicates the length measurement of a cargo bay in a vehicle, vessel, or structure.
-
B.
internalWeaponsBays
Indicates that an entity is equipped with weapons storage or launch systems housed within its internal structure rather than mounted externally.
-
C.
cargoBayDiameter
Indicates the diameter measurement of a cargo bay in the described context.
-
D.
hasShuttleBay
Indicates that an entity possesses or is equipped with a shuttle bay as part of its structure or facilities.
-
E.
leoPayloadCapacity
Indicates the maximum payload mass or capacity that can be delivered to Low Earth Orbit (LEO) in the context of a launch vehicle or space mission.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c61b508190b582f54ecbb387e3 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84631e6bc819099b3a7819c3ae9a7 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c8471e50ec8190b3d9e9fa5212cbac |
completed | March 28, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8478782388190bb0e86bfb455750b |
completed | March 28, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f555455c81908850210bcad96ac2 |
completed | March 27, 2026, 9:23 p.m. |
Created at: March 27, 2026, 3:46 p.m.