Triple
T22271394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga Lakestars |
E550484
|
entity |
| Predicate | hasRivalTeam |
P16339
|
FINISHED |
| Object | Osaka Evessa |
—
|
NE NERFINISHED |
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: Osaka Evessa | Statement: [Shiga Lakestars, hasRivalTeam, Osaka Evessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka Evessa Context triple: [Shiga Lakestars, hasRivalTeam, Osaka Evessa]
-
A.
Osaka Evessa
chosen
Osaka Evessa is a professional Japanese basketball team based in Osaka that competes in the B.League.
-
B.
Osaka Hai
Osaka Hai is a prestigious Grade 1 flat horse race in Japan for older thoroughbreds, run over 2000 meters at Hanshin Racecourse each spring.
-
C.
Diamor Osaka
Diamor Osaka is an underground shopping mall in Osaka’s Umeda district, featuring a variety of fashion, lifestyle, and dining options.
-
D.
Osan
Osan is a city in Gyeonggi Province, South Korea, known for its proximity to Osan Air Base and its role as a regional transportation and commercial hub.
-
E.
Cerezo Osaka
Cerezo Osaka is a professional Japanese football club based in Osaka, known for competing in the J1 League and for its intense local rivalry with Gamba Osaka in the Osaka derby.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141c056cc819088dae6f2b9a1d526 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.