Triple
T13328547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Britain women's national football team |
E317505
|
entity |
| Predicate | olympicBestResultYear |
P71869
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Great Britain women's national football team, olympicBestResultYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicBestResultYear Context triple: [Great Britain women's national football team, olympicBestResultYear, 2012]
-
A.
bestOlympicGamesResultYear
chosen
Indicates the year in which an entity achieved its best result at the Olympic Games.
-
B.
olympicBestResult
Indicates the best performance or highest achievement an entity has attained in Olympic competition.
-
C.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
D.
wonOlympicGoldYear
Indicates that an entity won an Olympic gold medal in the specified year.
-
E.
youthOlympicDebutYear
Indicates the year in which an entity first participated in or was introduced to the Youth Olympic Games.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.