Triple
T12547612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rittō |
E300012
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Kōka, Shiga |
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, Shiga | Statement: [Rittō, neighboringMunicipality, Kōka, Shiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōka, Shiga Context triple: [Rittō, neighboringMunicipality, Kōka, Shiga]
-
A.
Kōka, Shiga Prefecture
Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
-
B.
Kōka
chosen
Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
-
C.
Kaga, Ishikawa
Kaga, Ishikawa is a city in Ishikawa Prefecture, Japan, known for its historic hot spring resorts and traditional crafts.
-
D.
Moriyama, Shiga
Moriyama, Shiga is a city in central Japan known for its location on the southeastern shore of Lake Biwa and its blend of residential, commercial, and historical areas.
-
E.
Kusatsu, Shiga
Kusatsu, Shiga is a city in Japan’s Kansai region known as a residential and commercial hub within the greater Kyoto–Osaka metropolitan area.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95481ba28819099f7cd2de02e8837 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8be566c81908fba8e8caabbd93c |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:58 p.m.