Triple
T11928777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fushimi-ku, Kyoto |
E283855
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Takeda 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: Takeda Station | Statement: [Fushimi-ku, Kyoto, contains, Takeda Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takeda Station Context triple: [Fushimi-ku, Kyoto, contains, Takeda Station]
-
A.
Takeda Station
chosen
Takeda Station is a railway station in Kyoto, Japan, serving as a key terminal and transfer point on the Kyoto Municipal Subway network.
-
B.
Takaido Station
Takaido Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and providing local commuter access within the city.
-
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.
Imadegawa Station
Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:45 p.m.