Triple
T583587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Indurain |
E15108
|
entity |
| Predicate | GiroDItaliaWin |
P6361
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Miguel Indurain, GiroDItaliaWin, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GiroDItaliaWin Context triple: [Miguel Indurain, GiroDItaliaWin, 1992]
-
A.
notableWinner
Indicates that the subject is a particularly distinguished or prominent winner of the referenced competition, award, or contest.
-
B.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
C.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
-
D.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
E.
mainWinner
chosen
Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.