Triple
T9736112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giacomo Agostini |
E236065
|
entity |
| Predicate | worldChampionshipTitlesInClass |
P15197
|
FINISHED |
| Object | 8 in 500cc class |
—
|
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: 8 in 500cc class | Statement: [Giacomo Agostini, worldChampionshipTitlesInClass, 8 in 500cc class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipTitlesInClass Context triple: [Giacomo Agostini, worldChampionshipTitlesInClass, 8 in 500cc class]
-
A.
worldChampionshipTitles
chosen
Indicates the number of world championship titles an entity has won.
-
B.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
C.
WorldChampionshipsEvent
Indicates an event that is part of, or constitutes, a world-level championship competition.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.