Triple
T7743717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-2 |
E175570
|
entity |
| Predicate | reasonForShortenedMission |
P39192
|
FINISHED |
| Object | fuel cell problems |
—
|
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: fuel cell problems | Statement: [STS-2, reasonForShortenedMission, fuel cell problems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForShortenedMission Context triple: [STS-2, reasonForShortenedMission, fuel cell problems]
-
A.
reasonForEndOfMission
chosen
Indicates the cause or circumstance that led to the termination or conclusion of a mission.
-
B.
missionRationale
Indicates the underlying purpose, justification, or intended reason for undertaking a particular mission or operation.
-
C.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
D.
missionEnd
Indicates that a mission has concluded or reached its final state or outcome.
-
E.
reasonForScuttling
Indicates the specific cause or motivation that led to a vessel being deliberately scuttled.
- 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.