Triple
T15448275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Qingyuan |
E370079
|
entity |
| Predicate | laterMemberOf |
P7654
|
FINISHED |
| Object | Kansai Ki-in |
E736786
|
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: Kansai Ki-in | Statement: [Wu Qingyuan, laterMemberOf, Kansai Ki-in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kansai Ki-in Context triple: [Wu Qingyuan, laterMemberOf, Kansai Ki-in]
-
A.
Kansai Ki-in
chosen
Kansai Ki-in is a major Japanese Go organization that oversees professional players and promotes the game, particularly in the Kansai region.
-
B.
Kansai Kūkō
Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
-
C.
Kashio Seisakujo
Kashio Seisakujo was the original small Japanese manufacturing workshop founded by the Kashio brothers that evolved into the global electronics company Casio.
-
D.
Keiō
Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
-
E.
Kōten Kōkyūjo
Kōten Kōkyūjo was the original scholarly institute that evolved into Kokugakuin University, focusing on the study of classical Japanese texts and Shinto.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21afb6f4819094162ca842b7eb60 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.