Triple
T4466935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Hamilton |
E98401
|
entity |
| Predicate | wonWorldDriversChampionshipInSeason |
P10823
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Lewis Hamilton, wonWorldDriversChampionshipInSeason, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldDriversChampionshipInSeason Context triple: [Lewis Hamilton, wonWorldDriversChampionshipInSeason, 2008]
-
A.
wonChampionshipInSeason
chosen
Indicates that an entity secured a championship title during a specified season.
-
B.
lastFormulaOneSeason
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
C.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
-
D.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
E.
coachOfYearSeason
Indicates that a person was recognized as the coach of the year for a specific sports season.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.