Triple
T1247045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiji Shrine |
E26789
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Meiji-jingūmae Station |
E186277
|
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: Meiji-jingūmae Station | Statement: [Meiji Shrine, near, Meiji-jingūmae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meiji-jingūmae Station Context triple: [Meiji Shrine, near, Meiji-jingūmae Station]
-
A.
Meiji-jingumae Station
chosen
Meiji-jingumae Station is a major Tokyo subway station in the Harajuku/Meiji Shrine area, serving as a key access point to popular shopping and cultural districts.
-
B.
Komagome Station
Komagome Station is a railway station in Tokyo, Japan, served by JR East and the Tokyo Metro, providing access to the residential and commercial areas of the Komagome district.
-
C.
Asashiobashi Station
Asashiobashi Station is a railway station on Osaka's Chūō Line, serving the local area in Konohana-ku, Osaka, Japan.
-
D.
Eifukuchō Station
Eifukuchō Station is a railway station in Suginami, Tokyo, Japan, served by the Keio Inokashira Line.
-
E.
Kanamecho Station
Kanamecho Station is a subway station in Toshima, Tokyo, serving as a stop on the Tokyo Metro network.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6750a48190b86e9248ed54d90a |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db49ec24819098594c395bc88fe8 |
completed | March 14, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:47 p.m.