Triple
T36075136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toleman |
E1043476
|
entity |
| Predicate | enteredGrandPrixRaces |
P186504
|
FINISHED |
| Object | 1981–1985 |
—
|
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: 1981–1985 | Statement: [Toleman, enteredGrandPrixRaces, 1981–1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredGrandPrixRaces Context triple: [Toleman, enteredGrandPrixRaces, 1981–1985]
-
A.
returnedGrandPrix
Indicates that an entity has come back to participate in or host a Grand Prix event after a period of absence.
-
B.
hadGrandPrix
Indicates that a particular Grand Prix event took place as part of, or was hosted by, a given competition, season, or venue.
-
C.
homeGrandPrix
Indicates that a particular Grand Prix event is considered the home race for a given driver, team, or country.
-
D.
hasGrandPrixStatus
Indicates that an event or competition holds official Grand Prix classification or status.
-
E.
GrandPrixTitle
Indicates that an entity has won a championship or overall title in a Grand Prix competition or series.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:08 p.m.