Triple
T1037799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starliner spacecraft |
E22403
|
entity |
| Predicate | lifeSupport |
P2036
|
FINISHED |
| Object | environmental control and life support system for crew |
—
|
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: environmental control and life support system for crew | Statement: [Starliner spacecraft, lifeSupport, environmental control and life support system for crew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeSupport Context triple: [Starliner spacecraft, lifeSupport, environmental control and life support system for crew]
-
A.
supportsLife
chosen
Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
-
B.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
C.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
D.
airSupport
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
-
E.
breathes
Indicates that one entity inhales and exhales air or another gas as part of a respiratory process.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.