Triple
T10296858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotanda Station |
E241512
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shinagawa |
E74645
|
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: Shinagawa | Statement: [Gotanda Station, locatedIn, Shinagawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinagawa Context triple: [Gotanda Station, locatedIn, Shinagawa]
-
A.
Shinagawa
chosen
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
-
B.
Shinbashi
Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
-
C.
Itabashi
Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
-
D.
Shinjuku
Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
-
E.
Nishi-Ogikubo
Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 6, 2026, 11:43 a.m.