Triple
T7743714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-2 |
E175570
|
entity |
| Predicate | spacecraftReuseCount |
P59452
|
FINISHED |
| Object | 2nd flight of Columbia |
—
|
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: 2nd flight of Columbia | Statement: [STS-2, spacecraftReuseCount, 2nd flight of Columbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spacecraftReuseCount Context triple: [STS-2, spacecraftReuseCount, 2nd flight of Columbia]
-
A.
spacecraftReuseStatus
Indicates whether a spacecraft has been previously used, is currently being reused, or is intended for reuse.
-
B.
spacecraftReuse
chosen
Indicates that a spacecraft or its components are used for multiple missions or flights instead of being discarded after a single use.
-
C.
spacecraftCount
Indicates the number of spacecraft associated with a given entity or context.
-
D.
spaceFlightsCount
Indicates the number of space flights that an entity has undertaken or been involved in.
-
E.
numberOfUncrewedMissions
Indicates the total count of missions carried out without any crew on board.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:07 p.m.