Triple
T11286480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toei Oedo Line |
E267201
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Azabu-juban Station |
—
|
NE NERFINISHED |
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: Azabu-juban Station | Statement: [Toei Oedo Line, hasStation, Azabu-juban Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azabu-juban Station Context triple: [Toei Oedo Line, hasStation, Azabu-juban Station]
-
A.
Azabu-juban Station
chosen
Azabu-juban Station is a subway station in Tokyo’s Minato ward that serves the Azabu-Juban district as part of the city’s urban rail network.
-
B.
Akabanebashi Station
Akabanebashi Station is a Tokyo subway station on the Toei Ōedo Line, serving the Shiba area and providing convenient access to landmarks such as Tokyo Tower.
-
C.
Shibusawa Station
Shibusawa Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local stop on the Odakyu Odawara Line.
-
D.
Asakusabashi Station
Asakusabashi Station is a railway and subway station in Tokyo, Japan, serving the Asakusabashi district with JR East and Toei Asakusa Line services.
-
E.
Asashiobashi Station
Asashiobashi Station is a railway station on Osaka's Chūō Line, serving the local area in Konohana-ku, Osaka, Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.