Triple
T15719734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setouchi Triennale |
E381057
|
entity |
| Predicate | mainVenue |
P373
|
FINISHED |
| Object | Oshima (Kagawa) |
E152884
|
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: Oshima (Kagawa) | Statement: [Setouchi Triennale, mainVenue, Oshima (Kagawa)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshima (Kagawa) Context triple: [Setouchi Triennale, mainVenue, Oshima (Kagawa)]
-
A.
Shimanto, Kōchi
Shimanto, Kōchi is a town in Kōchi Prefecture, Japan, known for its scenic location along the clear Shimanto River and its rural, nature-rich environment.
-
B.
Shodoshima, Kagawa
chosen
Shodoshima, Kagawa is a Japanese island in the Seto Inland Sea known for its olive cultivation, scenic coastal landscapes, and traditional soy sauce production.
-
C.
Nakanoshima
Nakanoshima is a central river island and business district in Osaka, Japan, known for its government buildings, cultural institutions, and scenic waterfront parks.
-
D.
Nakanoshima
Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
-
E.
Kakogawa
Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f932a248190b65ecfb2bc56e715 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75852cf88190be054160d5cbc675 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.