Triple
T4599294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Manuel Fangio |
E100282
|
entity |
| Predicate | totalWorldChampionshipStarts |
P18048
|
FINISHED |
| Object | 51 |
—
|
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: 51 | Statement: [Juan Manuel Fangio, totalWorldChampionshipStarts, 51]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalWorldChampionshipStarts Context triple: [Juan Manuel Fangio, totalWorldChampionshipStarts, 51]
-
A.
WorldChampionshipAppearances
chosen
Indicates the number of times an entity has participated in a world championship competition.
-
B.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
-
C.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
-
D.
totalStarts
Indicates the total number of times an entity has been started or initiated across all relevant instances or periods.
-
E.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59707f8c8190b8368f1de887ff2a |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.