Triple
T26505521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | bronzeMedalistNationInLadiesSingles |
P83085
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [figure skating at the 2014 Winter Olympics, bronzeMedalistNationInLadiesSingles, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bronzeMedalistNationInLadiesSingles Context triple: [figure skating at the 2014 Winter Olympics, bronzeMedalistNationInLadiesSingles, Italy]
-
A.
ladiesSinglesBronzeMedalist
Indicates the relationship where an entity is the bronze medal winner in a ladies' singles competition event.
-
B.
bronzeMedalistNation
chosen
Indicates the nation that received the bronze medal in a given event or competition.
-
C.
pairsGoldMedalists
Indicates that the related entities are athletes who both won gold medals and are considered a pair (e.g., in the same event, team, or partnership).
-
D.
bronzeMedalistPairs
Indicates that the paired entities together achieved third place (bronze medal) in a given competition or event.
-
E.
silverMedalistCountry
Indicates the country that achieved second place (won the silver medal) in a given competition or event.
- 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_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:16 a.m.