Triple
T35330874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaunt Brothers Racing |
E1020311
|
entity |
| Predicate | primaryNumberInCup |
P206936
|
FINISHED |
| Object | 96 |
—
|
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: 96 | Statement: [Gaunt Brothers Racing, primaryNumberInCup, 96]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryNumberInCup Context triple: [Gaunt Brothers Racing, primaryNumberInCup, 96]
-
A.
coneNumber
Indicates the specific cone identifier or count associated with an entity in a given context.
-
B.
primarySingle
Indicates that an entity has exactly one main or primary association of the specified type, with no additional concurrent primary associations.
-
C.
primaryCalibre
Indicates the main or most significant size or capacity of a weapon’s ammunition or armament associated with an entity.
-
D.
primaryHold
Indicates that one entity serves as the main or most important holder or custodian of another entity.
-
E.
primaryValue
Indicates the main or most significant value associated with an entity, attribute, or measurement within a given context.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.