Triple
T27543759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea women's national football team |
E695304
|
entity |
| Predicate | eaffChampionshipTitles |
P162684
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [South Korea women's national football team, eaffChampionshipTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eaffChampionshipTitles Context triple: [South Korea women's national football team, eaffChampionshipTitles, 3]
-
A.
saffChampionshipTitles
Indicates the number of championship titles an entity has won in competitions organized by the South Asian Football Federation (SAFF).
-
B.
AEWChampionshipsHeld
Indicates the number of times an entity has held the AEW Championship title.
-
C.
firstAEWWorldChampion
Indicates that the subject was the first person or entity to hold the AEW World Championship title.
-
D.
affChampionshipTitles
Indicates that an entity has won or been awarded a specified number of championship titles.
-
E.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
- 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_69f62f82082081909849dc196181b18c |
completed | May 2, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 1:32 p.m.