Triple

T4788549
Position Surface form Disambiguated ID Type / Status
Subject Hanshin Namba Line E106543 entity
Predicate hasStation P35 FINISHED
Object Fuku Station
Fuku Station is a railway station in Japan served by the Hanshin Namba Line, providing local commuter rail access in the Osaka–Kobe region.
E919928 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: Fuku Station | Statement: [Hanshin Namba Line, hasStation, Fuku Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuku Station
Context triple: [Hanshin Namba Line, hasStation, Fuku Station]
  • A. Fuminosato Station
    Fuminosato Station is a railway station in Osaka, Japan, served by the Kintetsu Minami Osaka Line.
  • B. Yata Station
    Yata Station is a railway station in Osaka, Japan, operated by Kintetsu Railway on its Minami Osaka Line.
  • C. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • D. Minowa Station
    Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
  • E. Fuda Station
    Fuda Station is a passenger railway station serving the city of Chōfu in Tokyo, Japan.
  • 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: Fuku Station
Triple: [Hanshin Namba Line, hasStation, Fuku Station]
Generated description
Fuku Station is a railway station in Japan served by the Hanshin Namba Line, providing local commuter rail access in the Osaka–Kobe region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fuku Station
Target entity description: Fuku Station is a railway station in Japan served by the Hanshin Namba Line, providing local commuter rail access in the Osaka–Kobe region.
  • A. Fuminosato Station
    Fuminosato Station is a railway station in Osaka, Japan, served by the Kintetsu Minami Osaka Line.
  • B. Yata Station
    Yata Station is a railway station in Osaka, Japan, operated by Kintetsu Railway on its Minami Osaka Line.
  • C. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • D. Minowa Station
    Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
  • E. Fuda Station
    Fuda Station is a passenger railway station serving the city of Chōfu in Tokyo, Japan.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5424a26688190a49c3920d0edb546 completed April 19, 2026, 8:59 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: March 20, 2026, 1:22 p.m.