Triple
T27543760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea women's national football team |
E695304
|
entity |
| Predicate | eaffChampionshipBestResult |
P163276
|
FINISHED |
| Object | Champions |
—
|
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: Champions | Statement: [South Korea women's national football team, eaffChampionshipBestResult, Champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eaffChampionshipBestResult Context triple: [South Korea women's national football team, eaffChampionshipBestResult, Champions]
-
A.
eaffChampionshipTitles
Indicates the number of championship titles an entity has won in EAFF (East Asian Football Federation) competitions.
-
B.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
C.
firstAEWWorldChampion
Indicates that the subject was the first person or entity to hold the AEW World Championship title.
-
D.
ERAChampion
Indicates that an entity holds or has held the title of champion in a specific ERA (e.g., a league, season, or defined competitive period).
-
E.
finalChampion
Indicates that an entity is the ultimate winner or last remaining champion in a competition or series of contests.
- F. None of above. chosen
Provenance (4 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 1:32 p.m.