Triple
T14495152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūō-ku, Fukuoka |
E359475
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 中央区 |
E569191
|
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: 中央区 | Statement: [Chūō-ku, Fukuoka, hasJapaneseName, 中央区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中央区 Context triple: [Chūō-ku, Fukuoka, hasJapaneseName, 中央区]
-
A.
中央区
chosen
中央区 is one of Tokyo’s 23 special wards, known as a major commercial and financial center that includes districts such as Ginza and Nihonbashi.
-
B.
北区
北区是韩国蔚山市的一个行政区，以其工业设施与城市居住功能并存而闻名。
-
C.
北区
北区 is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and major railway hubs.
-
D.
北区
北区 is one of Kyoto City's administrative wards, known for its mix of residential areas, historic temples, and scenic natural landscapes in northern Kyoto.
-
E.
东区
东区是韩国蔚山广域市的一个行政区，以工业设施与港口经济为主。
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9544cc81908105554f212a9b8c |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.