Triple
T6781220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maison Hermès Tokyo |
E155685
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Chūō, Tokyo |
E305484
|
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: Chūō, Tokyo | Statement: [Maison Hermès Tokyo, locatedIn, Chūō, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chūō, Tokyo Context triple: [Maison Hermès Tokyo, locatedIn, Chūō, Tokyo]
-
A.
Chūō, Tokyo
chosen
Chūō, Tokyo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi and Ginza.
-
B.
Itabashi, Tokyo
Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
-
C.
Toshima, Tokyo
Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
-
D.
Shinagawa
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
-
E.
Hachiōji
Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26c621c8190a6eddc0d395e13e4 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbb542f08190bfea892ea90390b3 |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:14 p.m.