Triple

T20244855
Position Surface form Disambiguated ID Type / Status
Subject Alkmaardermeer E498395 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Uitgeest 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: Uitgeest | Statement: [Alkmaardermeer, hasNearbySettlement, Uitgeest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uitgeest
Context triple: [Alkmaardermeer, hasNearbySettlement, Uitgeest]
  • A. Uitgeest chosen
    Uitgeest is a village in North Holland, Netherlands, known as a historic polder and lakeside community north of Amsterdam.
  • B. Badhoevedorp
    Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
  • C. Westbroek
    Westbroek is a village in the Dutch province of Utrecht, known for its historic ribbon development and surrounding peat meadow landscape.
  • D. Herentals
    Herentals is a historic city in the Belgian province of Antwerp, known for its medieval architecture and role as a regional commercial center.
  • E. Bredevoort
    Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a10ab48190a408a5d2c2b0808b completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.