Triple
T7976281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sannomiya |
E185453
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Chuo-ku, Kobe |
E150996
|
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: Chuo-ku, Kobe | Statement: [Sannomiya, partOf, Chuo-ku, Kobe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuo-ku, Kobe Context triple: [Sannomiya, partOf, Chuo-ku, Kobe]
-
A.
Chuo-ku, Kobe
chosen
Chuo-ku, Kobe is the central ward of Kobe, Japan, known as the city’s main commercial, administrative, and entertainment district.
-
B.
Higashinada-ku, Kobe
Higashinada-ku, Kobe is a coastal ward in eastern Kobe, Japan, known for its residential districts, sake breweries, and man-made islands such as Rokkō Island.
-
C.
Nagata-ku, Kobe
Nagata-ku, Kobe is one of the wards of Kobe, Japan, known as a traditional working-class and industrial area with a significant history, including heavy damage in the 1995 Great Hanshin earthquake.
-
D.
Hyogo-ku, Kobe
Hyogo-ku, Kobe is one of the central wards of Kobe, Japan, known for its mix of residential districts, historic sites, and industrial waterfront areas.
-
E.
Chuo-ku, Osaka
Chuo-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and entertainment 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd672cb3288190af4f951e65e8d67e |
completed | April 1, 2026, 6:42 p.m. |
Created at: March 30, 2026, 5:14 p.m.