Triple
T7204200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denka Big Swan Stadium |
E148623
|
entity |
| Predicate | leagueHosted |
P2777
|
FINISHED |
| Object | J.League |
E190251
|
NE 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: J.League | Statement: [Denka Big Swan Stadium, leagueHosted, J.League]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J.League Context triple: [Denka Big Swan Stadium, leagueHosted, J.League]
-
A.
J.League
chosen
The J.League is Japan's professional football (soccer) league system, featuring the country's top clubs and serving as the premier competition in Japanese domestic football.
-
B.
J1 League
The J1 League is Japan's top-tier professional football (soccer) league, featuring the country's strongest clubs in its premier domestic competition.
-
C.
V.League 1
V.League 1 is the top professional football league in Vietnam, featuring the country’s leading clubs and players.
-
D.
J2 League
The J2 League is the second division of professional football in Japan, sitting below the top-tier J1 League in the country's league system.
-
E.
J.League Cup
The J.League Cup is a major Japanese professional football league cup competition contested primarily by clubs from the J1 League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94bfb2c81909ab492757435fce4 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d37f67bc8190bc11ab16f7cbe909 |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:52 p.m.