Triple
T19955653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey at the Winter Olympic Games |
E479673
|
entity |
| Predicate | medalCountSilver |
P6617
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Turkey at the Winter Olympic Games, medalCountSilver, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalCountSilver Context triple: [Turkey at the Winter Olympic Games, medalCountSilver, 0]
-
A.
olympicSilverMedals
chosen
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
B.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
C.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
D.
commonwealthGamesSilver
Indicates that an entity won a silver medal at the Commonwealth Games.
-
E.
worldChampionshipSilverYear
Indicates the year in which an entity achieved a silver (second-place) result at a world championship.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aefd9488190b8cdfa8543db8d31 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.