Triple

T22018682
Position Surface form Disambiguated ID Type / Status
Subject Vlissingen Souburg railway station E543779 entity
Predicate locatedIn P40 FINISHED
Object Oost-Souburg NE NERFINISHED

How this triple was built (2 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: Oost-Souburg | Statement: [Vlissingen Souburg railway station, locatedIn, Oost-Souburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oost-Souburg
Context triple: [Vlissingen Souburg railway station, locatedIn, Oost-Souburg]
  • A. Oost-Souburg chosen
    Oost-Souburg is a town in the Dutch province of Zeeland that forms part of the municipality of Vlissingen.
  • B. Zuidhorn
    Zuidhorn is a village and former municipality in the province of Groningen in the northern Netherlands, known for its rural character and proximity to the city of Groningen.
  • C. Bommershoven
    Bommershoven is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
  • D. Numansdorp
    Numansdorp is a village in the western Netherlands known for its rural character and location on the island of Hoeksche Waard.
  • E. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c5929881908458d07bd33c5edd completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.