Triple
T26505519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | silverMedalistNationInTeamEvent |
P83402
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [figure skating at the 2014 Winter Olympics, silverMedalistNationInTeamEvent, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silverMedalistNationInTeamEvent Context triple: [figure skating at the 2014 Winter Olympics, silverMedalistNationInTeamEvent, Canada]
-
A.
silverMedalistCountry
chosen
Indicates the country that achieved second place (won the silver medal) in a given competition or event.
-
B.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
C.
bronzeMedalistNation
Indicates the nation that received the bronze medal in a given event or competition.
-
D.
goldMedalistTeam
Indicates that a team has won the gold medal (first place) in a particular competition or event.
-
E.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
- 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.