Triple
T13875443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōtō |
E333569
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Fukagawa area |
E821303
|
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: Fukagawa area | Statement: [Kōtō, contains, Fukagawa area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fukagawa area Context triple: [Kōtō, contains, Fukagawa area]
-
A.
Fukagawa area
chosen
The Fukagawa area is a historic district in eastern Tokyo known for its traditional shitamachi atmosphere, temples and shrines, and evolving mix of old warehouses and modern cafes and galleries.
-
B.
Yokokawa area
The Yokokawa area is one of the three main temple precincts of Enryaku-ji on Mount Hiei, known for its secluded, forested setting and historic Buddhist halls.
-
C.
Suidobashi area
Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
-
D.
Kōjimachi area
The Kōjimachi area is a central Tokyo district known for its mix of government offices, corporate headquarters, and upscale residential neighborhoods.
-
E.
Kanda area
Kanda area is a historic district in central Tokyo known for its academic institutions, bookstores, and traditional neighborhoods.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac824a60819090894504dbb41de9 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 10:15 p.m.