Triple
T28991242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nico Hülkenberg |
E736029
|
entity |
| Predicate | LeMansWinningYear |
P118789
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Nico Hülkenberg, LeMansWinningYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LeMansWinningYear Context triple: [Nico Hülkenberg, LeMansWinningYear, 2015]
-
A.
LeMansWinStreak
Indicates a continuous sequence of victories achieved by the same participant in Le Mans races.
-
B.
won24HoursOfLeMansInYear
chosen
Indicates that the subject achieved victory in the 24 Hours of Le Mans race in the specified year.
-
C.
WECDebutYear
Indicates the year in which an entity made its debut or first appearance in World Extreme Cagefighting (WEC).
-
D.
chassisManufacturerOfWinningCar
Indicates that a manufacturer built the chassis of the car that won a particular race or competition.
-
E.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:25 a.m.