Triple
T26505524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | bronzeMedalistNationInTeamEvent |
P83085
|
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, bronzeMedalistNationInTeamEvent, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bronzeMedalistNationInTeamEvent Context triple: [figure skating at the 2014 Winter Olympics, bronzeMedalistNationInTeamEvent, United States]
-
A.
bronzeMedalistNation
chosen
Indicates the nation that received the bronze medal in a given event or competition.
-
B.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
C.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
D.
silverMedalistCountry
Indicates the country that achieved second place (won the silver medal) in a given competition or event.
-
E.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
- 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.