Triple
T2507699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France national football team |
E52622
|
entity |
| Predicate | olympicFootballGoldMedals |
P30620
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [France national football team, olympicFootballGoldMedals, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicFootballGoldMedals Context triple: [France national football team, olympicFootballGoldMedals, 1]
-
A.
wonOlympicFootballTournament
chosen
Indicates that an entity secured first place in the Olympic football (soccer) tournament in a given edition of the Olympic Games.
-
B.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
C.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
D.
olympicIceHockeyGoldMedals
Indicates the number of Olympic gold medals won in ice hockey by an entity (typically a team or country).
-
E.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.