Triple

T4945648
Position Surface form Disambiguated ID Type / Status
Subject Soestdijk railway station E111042 entity
Predicate locatedIn P40 FINISHED
Object Soestdijk E244592 NE FINISHED

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: Soestdijk | Statement: [Soestdijk railway station, locatedIn, Soestdijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soestdijk
Context triple: [Soestdijk railway station, locatedIn, Soestdijk]
  • A. Soestdijk chosen
    Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
  • B. Land van Heusden
    Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
  • C. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • D. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • E. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a4282ac8190aa641d466763b786 completed March 29, 2026, 3:19 a.m.
Created at: March 20, 2026, 1:31 p.m.