Triple
T10557498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadaoka |
E249125
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Higashi-Tadaoka Station |
E1092606
|
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: Higashi-Tadaoka Station | Statement: [Tadaoka, hasStation, Higashi-Tadaoka Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Higashi-Tadaoka Station Context triple: [Tadaoka, hasStation, Higashi-Tadaoka Station]
-
A.
Tadaoka Station
chosen
Tadaoka Station is a railway station in Tadaoka, Osaka Prefecture, Japan, serving local commuter traffic on the Nankai Main Line.
-
B.
Takashimadaira Station
Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
-
C.
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.
-
D.
Higashi-Matsubara Station
Higashi-Matsubara Station is a railway station in Tokyo, Japan, serving passengers on a private suburban commuter line operated by Keio Corporation.
-
E.
Takeda Station
Takeda Station is a railway station in Kyoto, Japan, serving as a key terminal and transfer point on the Kyoto Municipal Subway 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271521a4819086d96e1f183ab07a |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c1d31048190ab0a8d8e00515211 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 6, 2026, 12:35 p.m.