Triple
T16689598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azabu |
E405559
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Minato City |
—
|
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: Minato City | Statement: [Azabu, partOf, Minato City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minato City Context triple: [Azabu, partOf, Minato City]
-
A.
Minato
chosen
Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
-
B.
Kōtō City
Kōtō City is a special ward in eastern Tokyo known for its waterfront areas, modern residential and commercial districts, and cultural sites such as museums and event venues.
-
C.
Minato-ku
Minato-ku is a central ward of Osaka, Japan, known for its waterfront attractions and major landmarks such as the Osaka Aquarium Kaiyukan.
-
D.
Bunkyō City
Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
-
E.
Suita City
Suita City is a municipality in Osaka Prefecture, Japan, known as a residential and commercial hub within the Osaka metropolitan area and home to attractions such as the Expo ’70 Commemorative Park.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:19 a.m.