Triple
T26505503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | goldMedalNationInTeamEvent |
P122274
|
FINISHED |
| Object | Russia |
—
|
NE NERFINISHED |
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: Russia | Statement: [figure skating at the 2014 Winter Olympics, goldMedalNationInTeamEvent, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalNationInTeamEvent Context triple: [figure skating at the 2014 Winter Olympics, goldMedalNationInTeamEvent, Russia]
-
A.
goldMedalistTeam
chosen
Indicates that a team has won the gold medal (first place) in a particular competition or event.
-
B.
goldMedalTeamMember
Indicates that the subject is a member of a team that won a gold medal in a particular event or competition.
-
C.
goldMedalistNationality
Indicates the nationality of the athlete who won the gold medal in a given event or competition.
-
D.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
E.
wonOlympicGoldForCountry
Indicates that an athlete secured an Olympic gold medal while officially representing a particular country.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6138d906c81909258a45100e098be |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:16 a.m.