Triple
T13011574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naniwa-ku, Osaka |
E322427
|
entity |
| Predicate | hasMajorDistrict |
P14817
|
FINISHED |
| Object | Shin-Imamiya |
E1017312
|
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: Shin-Imamiya | Statement: [Naniwa-ku, Osaka, hasMajorDistrict, Shin-Imamiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shin-Imamiya Context triple: [Naniwa-ku, Osaka, hasMajorDistrict, Shin-Imamiya]
-
A.
Imamiya
chosen
Imamiya is a notable urban district within Osaka’s Naniwa Ward, known for its dense residential areas and proximity to major transportation links.
-
B.
Minamiyamashiro
Minamiyamashiro is a rural village in southern Kyoto Prefecture, Japan, known for its mountainous landscape, tea cultivation, and traditional countryside scenery.
-
C.
Iiyama
Iiyama is a Japanese electronics manufacturer best known for producing high-quality computer monitors and display solutions.
-
D.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
-
E.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9e14b88190a2cee8e0c9bf31c8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f6c4e081909f035260462015b1 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:49 p.m.