Triple
T31151680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Continents Figure Skating Championships |
E794090
|
entity |
| Predicate | typeOfMedalsAwarded |
P92082
|
FINISHED |
| Object | gold medal |
—
|
LITERAL FINISHED |
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: gold medal | Statement: [Four Continents Figure Skating Championships, typeOfMedalsAwarded, gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMedalsAwarded Context triple: [Four Continents Figure Skating Championships, typeOfMedalsAwarded, gold medal]
-
A.
medalTypesAwarded
chosen
Indicates the specific types or categories of medals that have been awarded in a given awarding event or context.
-
B.
typeOfMedalEvent
Indicates the specific medal category (e.g., gold, silver, bronze) associated with a particular event.
-
C.
typeOfMedalist
Indicates the specific category or rank of medal (e.g., gold, silver, bronze) associated with a given medalist.
-
D.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
E.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 29, 2026, 9:06 p.m.