Triple
T26505507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | goldMedalNationInIceDance |
P123984
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [figure skating at the 2014 Winter Olympics, goldMedalNationInIceDance, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalNationInIceDance Context triple: [figure skating at the 2014 Winter Olympics, goldMedalNationInIceDance, United States]
-
A.
countryRepresentedByIceDanceChampions
chosen
Indicates the country that is officially represented by specific ice dance champions in competitions or events.
-
B.
silverMedalistIceDance
Indicates that an entity achieved second place (won the silver medal) in an ice dance competition or event.
-
C.
iceDanceChampionNationality
Indicates the nationality of an individual who is an ice dance champion.
-
D.
iceDanceBronzeMedalists
Indicates that the referenced entities are the pairs or individuals who finished in third place and received bronze medals in an ice dancing competition.
-
E.
winnerIceDance
Indicates that one entity is the winner of an ice dance competition or event in relation to another specified context (such as a competition, year, or performance).
- 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_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 1:16 a.m.