Triple
T249341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Space Shuttle program |
E5108
|
entity |
| Predicate | spacecraftType |
P4019
|
FINISHED |
| Object | partially reusable launch system |
—
|
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: partially reusable launch system | Statement: [NASA Space Shuttle program, spacecraftType, partially reusable launch system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spacecraftType Context triple: [NASA Space Shuttle program, spacecraftType, partially reusable launch system]
-
A.
spacecraft
chosen
Indicates that an entity is a vehicle or object designed to travel or operate in outer space.
-
B.
spaceProgram
Indicates that an entity is involved in, operates, or is associated with an organized program dedicated to space exploration, research, or related activities.
-
C.
spacecraftLaunchAssociatedWith
Indicates a relationship where a spacecraft launch is connected or linked to another event, object, or entity involved in or affected by that launch.
-
D.
orbitType
Indicates the specific kind or classification of an object's orbit in relation to the body it revolves around.
-
E.
telescopeType
Indicates the specific kind or category of telescope associated with an entity.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.