Triple

T3803500
Position Surface form Disambiguated ID Type / Status
Subject Hadano E91746 entity
Predicate hasRailwayStation P918 FINISHED
Object Hadano Station
Hadano Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local transit hub on the Odakyu Odawara Line.
E848491 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: Hadano Station | Statement: [Hadano, hasRailwayStation, Hadano Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadano Station
Context triple: [Hadano, hasRailwayStation, Hadano Station]
  • A. Kanda Station
    Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
  • B. Toda Station
    Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
  • C. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • D. Hanaten Station
    Hanaten Station is a railway station in Osaka, Japan, serving as a stop on JR West lines including the Osaka Higashi Line.
  • E. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • 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: Hadano Station
Triple: [Hadano, hasRailwayStation, Hadano Station]
Generated description
Hadano Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local transit hub on the Odakyu Odawara Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hadano Station
Target entity description: Hadano Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local transit hub on the Odakyu Odawara Line.
  • A. Kanda Station
    Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
  • B. Toda Station
    Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
  • C. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • D. Hanaten Station
    Hanaten Station is a railway station in Osaka, Japan, serving as a stop on JR West lines including the Osaka Higashi Line.
  • E. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d369226a28819088b14cbc4cb78e57 completed April 6, 2026, 8:04 a.m.
NEDg Description generation batch_69d36a006da48190b98b325b7dc24caa completed April 6, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69d36a5343588190923c3fe62368cd0a completed April 6, 2026, 8:09 a.m.
Created at: March 9, 2026, 3:15 p.m.