Triple
T3726850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bj league 2007–08 |
E81769
|
entity |
| Predicate | hasChampionTeam |
P47875
|
FINISHED |
| Object | Osaka Evessa |
E11302
|
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: Osaka Evessa | Statement: [bj league 2007–08, hasChampionTeam, Osaka Evessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka Evessa Context triple: [bj league 2007–08, hasChampionTeam, Osaka Evessa]
-
A.
Osaka Evessa
chosen
Osaka Evessa is a professional Japanese basketball team based in Osaka that competes in the B.League.
-
B.
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.
-
C.
Kashiwa
Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
-
D.
Matsui
Matsui is a Japanese surname borne by various notable figures in fields such as politics, sports, and the military.
-
E.
Molitor
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf7a6908190bd0c3bb5c55ab9ee |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53367ad5c81909f7bcbbc967514b7 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 8, 2026, 3:34 p.m.