Triple
T16689610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azabu |
E405559
|
entity |
| Predicate | hasSubdistrict |
P747
|
FINISHED |
| Object | Azabu-Juban |
E405559
|
NE FINISHED |
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: Azabu-Juban | Statement: [Azabu, hasSubdistrict, Azabu-Juban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azabu-Juban Context triple: [Azabu, hasSubdistrict, Azabu-Juban]
-
A.
Azabu
chosen
Azabu is an upscale residential and entertainment district in central Tokyo known for its embassies, international community, and trendy dining and nightlife.
-
B.
Azabu area
The Azabu area is a central Tokyo neighborhood known for its upscale residential streets, international community, embassies, and proximity to Roppongi and other major districts.
-
C.
Nishi-Tobecho
Nishi-Tobecho is a notable neighborhood within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
D.
Asakusabashi
Asakusabashi is a district in Tokyo known for its traditional wholesale shops, craft stores, and convenient access to central city areas.
-
E.
Komagome
Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.