Triple
T26529578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crew-2 |
E670781
|
entity |
| Predicate | boosterCore |
P74622
|
FINISHED |
| Object | B1061 |
—
|
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: B1061 | Statement: [Crew-2, boosterCore, B1061]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boosterCore Context triple: [Crew-2, boosterCore, B1061]
-
A.
boosterName
chosen
Indicates the name or designation assigned to a booster component associated with an entity or event.
-
B.
boosterType
Indicates the specific kind or category of booster associated with an entity or action.
-
C.
boosterRole
Indicates that an entity serves in a supporting or enhancing capacity to strengthen, amplify, or promote another entity’s function, status, or effect.
-
D.
usedWithBoosters
Indicates that something is employed or operated in conjunction with boosters to enhance its effect or performance.
-
E.
boosterRecommendation
Indicates that one entity advises or prescribes a booster (e.g., an additional dose or reinforcement) for another entity.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613f5ec28819099ec679f636d61d9 |
completed | May 2, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:34 a.m.