Triple

T22010988
Position Surface form Disambiguated ID Type / Status
Subject Heist-op-den-Berg E543570 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Nijlen 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: Nijlen | Statement: [Heist-op-den-Berg, hasNeighboringMunicipality, Nijlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nijlen
Context triple: [Heist-op-den-Berg, hasNeighboringMunicipality, Nijlen]
  • A. Nijlen chosen
    Nijlen is a municipality in the Belgian province of Antwerp, known for its rural character and location along the Nete River.
  • B. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • C. Nissewaard
    Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
  • D. Nijkerk
    Nijkerk is a historic town and municipality in the Dutch province of Gelderland in the central Netherlands.
  • E. Kneuterdijk
    Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.