Triple
T21332078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōsu |
E525929
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Naka Ward, Nagoya |
—
|
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: Naka Ward, Nagoya | Statement: [Ōsu, partOf, Naka Ward, Nagoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naka Ward, Nagoya Context triple: [Ōsu, partOf, Naka Ward, Nagoya]
-
A.
Naka Ward, Nagoya
chosen
Naka Ward, Nagoya is a central district of Nagoya, Japan, known as a major commercial, entertainment, and cultural hub of the city.
-
B.
Moriyama-ku, Nagoya
Moriyama-ku, Nagoya is one of the eastern wards of Nagoya, Japan, known primarily as a residential area with a mix of suburban neighborhoods and green spaces.
-
C.
Higashi-ku, Nagoya
Higashi-ku, Nagoya is one of the central wards of Nagoya, Japan, known for its cultural institutions, commercial districts, and urban residential areas.
-
D.
Nakamura-ku, Nagoya
Nakamura-ku, Nagoya is a central ward of Nagoya, Japan, known as a major commercial and transportation hub that includes Nagoya Station and its surrounding high-rise developments.
-
E.
Shōwa-ku, Nagoya
Shōwa-ku, Nagoya is one of the wards of Nagoya, Japan, known as a primarily residential and educational area with several universities and parks.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab54706081909445f9cd91a43788 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.