Triple

T18113034
Position Surface form Disambiguated ID Type / Status
Subject Gran E433528 entity
Predicate hasRailwayStation P918 FINISHED
Object Bleiken Station NE NERFINISHED

How this triple was built (3 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: Bleiken Station | Statement: [Gran, hasRailwayStation, Bleiken Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleiken Station
Context triple: [Gran, hasRailwayStation, Bleiken Station]
  • A. Hengst station
    Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
  • B. Singen station
    Singen station is a major railway hub in southern Germany that serves as an important interchange point for regional and long-distance train services near the Swiss border.
  • C. Beynes station
    Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
  • D. Wende station
    Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
  • E. Kampen station
    Kampen station is a railway station in the city of Kampen in the Netherlands, serving as a local stop on the regional rail network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bleiken Station
Target entity description: Bleiken Station is a local railway stop serving the village of Bleiken in the municipality of Gran, Norway.
  • A. Hengst station
    Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
  • B. Singen station
    Singen station is a major railway hub in southern Germany that serves as an important interchange point for regional and long-distance train services near the Swiss border.
  • C. Beynes station
    Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
  • D. Wende station
    Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
  • E. Kampen station
    Kampen station is a railway station in the city of Kampen in the Netherlands, serving as a local stop on the regional rail network.
  • F. None of above. chosen

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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.