Triple

T19507232
Position Surface form Disambiguated ID Type / Status
Subject Mook E488053 entity
Predicate hasNearbyFeature P350 FINISHED
Object Mookerheide 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: Mookerheide | Statement: [Mook, hasNearbyFeature, Mookerheide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mookerheide
Context triple: [Mook, hasNearbyFeature, Mookerheide]
  • A. Mookerheide chosen
    Mookerheide is a heathland and nature reserve in the Dutch province of Limburg, known for its scenic landscapes and historical World War II significance.
  • B. Molenhoek
    Molenhoek is a village in the Dutch province of Limburg, known for its proximity to Mook and its location near the Maas River and the German border.
  • C. Mookerplas
    Mookerplas is a recreational lake in the Dutch province of Limburg, popular for swimming, water sports, and nature activities.
  • D. Harksheide
    Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
  • E. Millingerwaard
    Millingerwaard is a riverine nature reserve along the Waal in the Netherlands, known for its restored floodplain landscapes, grazing herds, and rich biodiversity.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635130e708190bb3d70e1abbade2a completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.