Triple
T10557497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadaoka |
E249125
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Tadaoka Station
Tadaoka Station is a railway station in Tadaoka, Osaka Prefecture, Japan, serving local commuter traffic on the Nankai Main Line.
|
E1092606
|
NE FINISHED |
How this triple was built (4 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: Tadaoka Station | Statement: [Tadaoka, hasStation, Tadaoka Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadaoka Station Context triple: [Tadaoka, hasStation, Tadaoka Station]
-
A.
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.
-
B.
Takashimadaira Station
Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
-
C.
Takehara Station
Takehara Station is a regional railway station serving the coastal city of Takehara in Hiroshima Prefecture, Japan.
-
D.
Takatsuki Station
Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
-
E.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tadaoka Station Triple: [Tadaoka, hasStation, Tadaoka Station]
Generated description
Tadaoka Station is a railway station in Tadaoka, Osaka Prefecture, Japan, serving local commuter traffic on the Nankai Main Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tadaoka Station Target entity description: Tadaoka Station is a railway station in Tadaoka, Osaka Prefecture, Japan, serving local commuter traffic on the Nankai Main Line.
-
A.
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.
-
B.
Takashimadaira Station
Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
-
C.
Takehara Station
Takehara Station is a regional railway station serving the coastal city of Takehara in Hiroshima Prefecture, Japan.
-
D.
Takatsuki Station
Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
-
E.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
- F. None of above. chosen
Provenance (5 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_69fd466577508190b1926c475b7c49dc |
completed | May 8, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69fd4768edc881909a0c586b6d9568a3 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47eb7db08190a68f60b255073d8d |
completed | May 8, 2026, 2:18 a.m. |
Created at: April 6, 2026, 12:35 p.m.