Triple
T19900216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Namba |
E478264
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Namba area |
—
|
NE NERFINISHED |
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: Namba area | Statement: [Osaka Namba, locatedIn, Namba area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namba area Context triple: [Osaka Namba, locatedIn, Namba area]
-
A.
Namba area
chosen
Namba area is a major entertainment and shopping district in Osaka, Japan, known for its bustling nightlife, neon-lit streets, and popular attractions like Dotonbori.
-
B.
Kanda area
Kanda area is a historic district in central Tokyo known for its academic institutions, bookstores, and traditional neighborhoods.
-
C.
Sannomiya area
The Sannomiya area is Kobe’s central downtown district and main commercial and transportation hub, known for its dense shopping streets, restaurants, and nightlife.
-
D.
Tsuruma area
Tsuruma area is a neighborhood in Naka Ward, Nagoya, known for its central urban location and proximity to major city amenities.
-
E.
Nanko area
The Nanko area is a coastal district in Osaka, Japan, known for its waterfront developments, port facilities, and nearby nature spots such as the Osaka Nanko Bird Sanctuary.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65940cf8c8190b74e51635410e48a |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.