Triple
T31793207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing Commercial Crew program |
E811523
|
entity |
| Predicate | nominalCrewSizeForNASA |
P174117
|
FINISHED |
| Object | 4 astronauts |
—
|
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: 4 astronauts | Statement: [Boeing Commercial Crew program, nominalCrewSizeForNASA, 4 astronauts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominalCrewSizeForNASA Context triple: [Boeing Commercial Crew program, nominalCrewSizeForNASA, 4 astronauts]
-
A.
isAstronautOf
Indicates that a person serves as an astronaut who is a member of, or assigned to, a particular space agency, mission, or spacecraft.
-
B.
providedCrewForMissionType
Indicates that an entity supplied or assigned crew members specifically for a particular type or category of mission.
-
C.
launchesCrewedMissions
Indicates that an entity initiates and sends human-crewed space missions into space or to specific destinations.
-
D.
numberOfAstronautsSelected
Indicates the quantity of astronauts that have been chosen or selected in a given context or selection process.
-
E.
orbitsCrewedMission
Indicates that a crewed space mission travels around and remains in orbit of a specified celestial body or object.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: April 30, 2026, 11:39 p.m.