Triple

T2255051
Position Surface form Disambiguated ID Type / Status
Subject Ouderkerk aan de Amstel E49701 entity
Predicate hasNearbyCity P350 FINISHED
Object Diemen E210294 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: Diemen | Statement: [Ouderkerk aan de Amstel, hasNearbyCity, Diemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diemen
Context triple: [Ouderkerk aan de Amstel, hasNearbyCity, Diemen]
  • A. Diemen chosen
    Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
  • B. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • C. Stellendam
    Stellendam is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its fishing harbor and proximity to the North Sea.
  • D. Maasdijk
    Maasdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to the North Sea coast.
  • E. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc121af78819085b2e601d2f9bcdf completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f067f208190a399e2b1a83badd1 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.