Triple
T15941045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-ku, Osaka |
E386560
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dojima |
E1151979
|
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: Dojima | Statement: [Kita-ku, Osaka, contains, Dojima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dojima Context triple: [Kita-ku, Osaka, contains, Dojima]
-
A.
Dojima area
chosen
The Dojima area is a bustling business and entertainment district in central Osaka known for its high-rise offices, dining spots, and nightlife.
-
B.
Osaka Exchange
Osaka Exchange is a major Japanese securities and derivatives exchange based in Osaka, specializing particularly in derivatives trading such as index futures and options.
-
C.
Kappabashi
Kappabashi is a famous Tokyo shopping street and district known for its many stores specializing in kitchenware, restaurant supplies, and realistic plastic food models.
-
D.
Komagome
Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
-
E.
Shin-Osaka
Shin-Osaka is a major railway hub in Osaka, Japan, serving as the primary Shinkansen (bullet train) terminal linking the city with other regions across the country.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5bbc07c819098fd768e2e6b5b3e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.