Triple
T1708947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga Prefecture |
E36933
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kōka |
E393875
|
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: Kōka | Statement: [Shiga Prefecture, contains, Kōka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōka Context triple: [Shiga Prefecture, contains, Kōka]
-
A.
Kōka
chosen
Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
-
B.
Iizuka
Iizuka is a city in Fukuoka Prefecture, Japan, known historically for its coal mining industry and now as a regional commercial and residential center.
-
C.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
-
D.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
E.
Hikone
Hikone is a historic city in Shiga Prefecture, Japan, best known for its well-preserved Hikone Castle overlooking Lake Biwa.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63118618819085700fa84e362d60 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57efde3148190ac7a0d94281a1ff2 |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 4, 2026, 7:30 p.m.