Triple
T28991019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romain Grosjean |
E736024
|
entity |
| Predicate | hasCarNumberInIndyCar |
P193116
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Romain Grosjean, hasCarNumberInIndyCar, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarNumberInIndyCar Context triple: [Romain Grosjean, hasCarNumberInIndyCar, 28]
-
A.
championshipCarNumber
Indicates the specific car number associated with a championship-winning entry in a racing competition.
-
B.
hasCarNumberInGP2
Indicates that an entity is associated with a specific car number used in the GP2 racing series.
-
C.
vehicleNumberInRace
Indicates the specific position or identification number assigned to a vehicle within a particular race.
-
D.
numberOfIndyCarSeriesChampionships
Indicates the count of IndyCar Series championship titles that an entity has won.
-
E.
carNumberInF1
Indicates the specific racing number assigned to a driver or car in Formula 1 competition.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: April 28, 2026, 9:25 a.m.