Triple
T35752110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus F1 Team |
E1033344
|
entity |
| Predicate | constructorFinalRace |
P120080
|
FINISHED |
| Object | 2015 Abu Dhabi Grand Prix |
—
|
NE NERFINISHED |
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: 2015 Abu Dhabi Grand Prix | Statement: [Lotus F1 Team, constructorFinalRace, 2015 Abu Dhabi Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorFinalRace Context triple: [Lotus F1 Team, constructorFinalRace, 2015 Abu Dhabi Grand Prix]
-
A.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
B.
tournamentFinalMethod
Indicates the method or format by which the final round or match of a tournament is conducted or decided.
-
C.
bestRaceFinish
Indicates the highest (best) finishing position an entity has achieved in a race.
-
D.
finalGrandPrix
chosen
Indicates that a given Grand Prix event is the last one in a specified sequence, season, or career.
-
E.
racedWith
Indicates that one entity participated in a race or competitive speed event together with 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:06 p.m.