Triple
T23355166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatchōbori |
E593022
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hatchōbori 1-chōme |
—
|
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: Hatchōbori 1-chōme | Statement: [Hatchōbori, hasPart, Hatchōbori 1-chōme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatchōbori 1-chōme Context triple: [Hatchōbori, hasPart, Hatchōbori 1-chōme]
-
A.
Yodoyabashi
Yodoyabashi is a major business and commercial district in central Osaka, known for its financial institutions, offices, and convenient subway and rail connections.
-
B.
Hatchōbori
chosen
Hatchōbori is a district in Tokyo’s Chūō ward known for its mix of traditional neighborhoods, business offices, and convenient access to central Tokyo.
-
C.
Haginochaya
Haginochaya is a neighborhood in Osaka’s Naniwa Ward known for its dense urban streetscape, budget accommodations, and proximity to major transit and entertainment areas.
-
D.
Kamitabashi
Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
-
E.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a169bb88190a2ca659fce1133e5 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:21 p.m.