Triple
T32746359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orbital Maneuvering System |
E837363
|
entity |
| Predicate | locationOnVehicle |
P50393
|
FINISHED |
| Object | aft fuselage of Space Shuttle orbiter |
—
|
LITERAL FINISHED |
How this triple was built (2 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: aft fuselage of Space Shuttle orbiter | Statement: [Orbital Maneuvering System, locationOnVehicle, aft fuselage of Space Shuttle orbiter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOnVehicle Context triple: [Orbital Maneuvering System, locationOnVehicle, aft fuselage of Space Shuttle orbiter]
-
A.
appliedToLocationOnVehicle
chosen
Indicates that something (such as a treatment, device, or action) is applied specifically to a particular location or area on a vehicle.
-
B.
landingSiteVehicle
Indicates that a vehicle uses or is assigned to a particular location as its landing site.
-
C.
onboardLocation
Indicates that one entity is located on or within a vehicle, vessel, or other conveyance associated with another entity.
-
D.
basedOnVehicle
Indicates that one entity is derived from, modeled after, or otherwise conceptually or functionally based on a particular vehicle.
-
E.
mountVehicle
Indicates initiating the action of getting onto or into a vehicle in order to use or ride it.
- F. None of above.
Provenance (3 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
Created at: May 1, 2026, 1:12 a.m.