Triple
T11379149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omiya Station (Kyoto) |
E269547
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nakagyō-ku |
E452964
|
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: Nakagyō-ku | Statement: [Omiya Station (Kyoto), locatedIn, Nakagyō-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakagyō-ku Context triple: [Omiya Station (Kyoto), locatedIn, Nakagyō-ku]
-
A.
Nakagyō-ku
chosen
Nakagyō-ku is a central ward of Kyoto, Japan, known for its historic districts, cultural landmarks, and bustling commercial areas.
-
B.
Yodogawa-ku
Yodogawa-ku is one of the 24 wards of Osaka, Japan, known as a major residential and commercial area and a key transportation hub centered around Shin-Osaka Station.
-
C.
Nishi-ku
Nishi-ku is a central ward of Yokohama, Japan, known as a major commercial and business district that includes the Minato Mirai 21 waterfront area.
-
D.
Nishi-ku
Nishi-ku is a ward in Fukuoka, Japan, known for its coastal areas, residential neighborhoods, and access to both urban amenities and natural scenery.
-
E.
Shiroishi-ku
Shiroishi-ku is one of the administrative wards of the city of Sapporo in Hokkaido, Japan.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d6d4bd8819087902472e77e0d38 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 8, 2026, 9:33 p.m.