Triple
T14482956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish men's national basketball team |
E359155
|
entity |
| Predicate | OlympicGamesBestResult |
P33011
|
FINISHED |
| Object | silver medal |
—
|
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: silver medal | Statement: [Spanish men's national basketball team, OlympicGamesBestResult, silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicGamesBestResult Context triple: [Spanish men's national basketball team, OlympicGamesBestResult, silver medal]
-
A.
olympicBestResult
chosen
Indicates the best performance or highest achievement an entity has attained in Olympic competition.
-
B.
bestOlympicGamesResultYear
Indicates the year in which an entity achieved its best result at the Olympic Games.
-
C.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
D.
olympicGoldWith
Indicates that the related entities won an Olympic gold medal together, typically as teammates in the same event or competition.
-
E.
olympicRecordStatus
Indicates the relationship between a performance and the Olympic record, specifying whether and how that performance sets, equals, or affects the standing Olympic record.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.