Triple

T8854428
Position Surface form Disambiguated ID Type / Status
Subject Sloterdijk station E210718 entity
Predicate locatedIn P40 FINISHED
Object Sloterdijk E492676 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: Sloterdijk | Statement: [Sloterdijk station, locatedIn, Sloterdijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sloterdijk
Context triple: [Sloterdijk station, locatedIn, Sloterdijk]
  • A. Sloterdijk chosen
    Sloterdijk is a major transport hub in western Amsterdam that serves as an important interchange for trains, metro, trams, and buses.
  • B. Krabbendijke
    Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
  • C. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • D. Noorderhaaks
    Noorderhaaks is a small, uninhabited sandbar island off the Dutch coast, forming the westernmost part of the West Frisian Islands archipelago.
  • E. Stolwijk
    Stolwijk is a village in the Dutch province of South Holland, known for its traditional rural character and location in the Krimpenerwaard polder landscape.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c6dce88190b175698b191fb89b completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.