Triple

T22666276
Position Surface form Disambiguated ID Type / Status
Subject Overlander family E559800 entity
Predicate regionOfEstates P87581 FINISHED
Object Ilpendam 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: Ilpendam | Statement: [Overlander family, regionOfEstates, Ilpendam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilpendam
Context triple: [Overlander family, regionOfEstates, Ilpendam]
  • A. Ilpendam chosen
    Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
  • B. Spaarndam
    Spaarndam is a historic Dutch village in North Holland, known for its old sluices and dikes along the river Spaarne and its traditional waterfront charm.
  • C. Gaasperdam
    Gaasperdam is a residential neighborhood in the southeastern part of Amsterdam known for its green spaces and proximity to the Gaasperplas recreational area.
  • D. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • E. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781c2c808190baf6964ca1eced6f completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.