Triple

T10374250
Position Surface form Disambiguated ID Type / Status
Subject Vestby E244461 entity
Predicate hasRailwayStation P918 FINISHED
Object Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
 E861491 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: Vestby Station | Statement: [Vestby, hasRailwayStation, Vestby Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vestby Station
Context triple: [Vestby, hasRailwayStation, Vestby Station]
  • A. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • B. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • C. Albertson station
    Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
  • D. Maplewood station
    Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
  • E. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • 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: Vestby Station
Triple: [Vestby, hasRailwayStation, Vestby Station]
Generated description
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vestby Station
Target entity description: Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
  • A. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • B. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • C. Albertson station
    Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
  • D. Maplewood station
    Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
  • E. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb98c52c8190a52682feacc2bd0d completed April 9, 2026, 7:18 p.m.
NEDg Description generation batch_69d8276261808190b5ae6fa77f0e145d completed April 9, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 12:02 p.m.