Triple
T18587702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDA-1 |
E454280
|
entity |
| Predicate | spacecraftTypeSupported |
P132681
|
FINISHED |
| Object | commercial crew vehicles |
—
|
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: commercial crew vehicles | Statement: [IDA-1, spacecraftTypeSupported, commercial crew vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spacecraftTypeSupported Context triple: [IDA-1, spacecraftTypeSupported, commercial crew vehicles]
-
A.
isOnSpacecraftType
Indicates that one entity is currently aboard or assigned to a spacecraft of a specified type.
-
B.
spacecraftModel
Indicates that one entity is the specific model or design type of a spacecraft associated with another entity.
-
C.
spacecraftServedOn
Indicates that a particular spacecraft is one on which an entity (typically a person) has served or been assigned.
-
D.
spacecraftFamily
Indicates that one spacecraft belongs to, or is categorized under, a particular family or series of related spacecraft designs.
-
E.
spacecraftCapabilityTested
Indicates that a spacecraft’s capabilities have been evaluated or verified through a test or testing process.
- F. None of above. chosen
Provenance (4 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b2f20481908da74447cd08d5bd |
completed | April 19, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:44 a.m.