Triple
T4920653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Hailwood |
E110455
|
entity |
| Predicate | wonWorldChampionshipInClass |
P21542
|
FINISHED |
| Object | 250cc |
—
|
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: 250cc | Statement: [Mike Hailwood, wonWorldChampionshipInClass, 250cc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldChampionshipInClass Context triple: [Mike Hailwood, wonWorldChampionshipInClass, 250cc]
-
A.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
B.
worldChampionIn
chosen
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
-
C.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
-
D.
bestWorldChampionshipResult
Indicates the highest (best) world championship result or placement that an entity has achieved.
-
E.
competitionWonWith
Indicates that a competition was won using, involving, or in association with a particular participant, method, tool, or resource.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.