Triple
T19793079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsuzakaya Nagoya |
E475467
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sakae, 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: Sakae, Nagoya | Statement: [Matsuzakaya Nagoya, locatedIn, Sakae, Nagoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakae, Nagoya Context triple: [Matsuzakaya Nagoya, locatedIn, Sakae, 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.
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.
-
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.
Chikusa-ku, Nagoya
Chikusa-ku, Nagoya is a ward in the city of Nagoya, Japan, known for its academic institutions, residential neighborhoods, and cultural facilities.
-
E.
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.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c4a8a88190afc2f2cd1ebbbe1e |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.