Triple
T12142782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebisu Station |
E289230
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ebisu district |
E679062
|
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: Ebisu district | Statement: [Ebisu Station, locatedIn, Ebisu district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebisu district Context triple: [Ebisu Station, locatedIn, Ebisu district]
-
A.
Ebisu district
chosen
Ebisu district is a fashionable neighborhood in Tokyo known for its upscale dining, shopping, and nightlife, as well as its convenient access from central Shibuya.
-
B.
Oshiage district
Oshiage district is a neighborhood in Tokyo best known as the area surrounding Tokyo Skytree, featuring a major transit hub and a mix of commercial and residential zones.
-
C.
Otsuka district
Otsuka district is a neighborhood in Tokyo, Japan, known for its mix of residential streets, local shopping areas, and convenient rail access.
-
D.
Aikawa district
Aikawa district is a locality on Sado Island in Niigata Prefecture, Japan, historically known for its gold and silver mining operations.
-
E.
Marunouchi district
The Marunouchi district is a central business and commercial area in Tokyo known for its skyscrapers, corporate headquarters, upscale shops, and proximity to the Imperial Palace.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ac420788190b12167aef7436c64 |
completed | May 3, 2026, 5:49 p.m. |
Created at: April 8, 2026, 9:49 p.m.