Triple
T9574027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivica Kostelić |
E230996
|
entity |
| Predicate | WorldCupDisciplineTitle |
P31748
|
FINISHED |
| Object | slalom |
—
|
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: slalom | Statement: [Ivica Kostelić, WorldCupDisciplineTitle, slalom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCupDisciplineTitle Context triple: [Ivica Kostelić, WorldCupDisciplineTitle, slalom]
-
A.
WorldCupDisciplineTitles
chosen
Indicates the number or types of discipline-specific titles an entity has won at the World Cup.
-
B.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
C.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
D.
hasOlympicDiscipline
Indicates that an entity (typically a sport) includes or is associated with a specific discipline as recognized in the Olympic Games.
-
E.
esportDiscipline
Indicates that one entity is a specific esports game or discipline in which the other entity participates or is involved.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99a94c788190a4bb5d2b676908ac |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.