Triple
T36075415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British American Racing |
E1043482
|
entity |
| Predicate | raceEntries |
P51153
|
FINISHED |
| Object | 118 |
—
|
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: 118 | Statement: [British American Racing, raceEntries, 118]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceEntries Context triple: [British American Racing, raceEntries, 118]
-
A.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
-
B.
racesEntered
chosen
Indicates that an entity has participated in or registered for one or more races.
-
C.
raceSurfaceHistory
Indicates the type of surface on which an entity has raced in the past, capturing its historical race-surface conditions.
-
D.
raceAdded
Indicates that a race event or race-related record has been newly created or incorporated into a system or dataset.
-
E.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.