Triple

T13833766
Position Surface form Disambiguated ID Type / Status
Subject Winterswijk E332470 entity
Predicate hasSubMunicipality P747 FINISHED
Object Winterswijk Meddo E332470 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: Winterswijk Meddo | Statement: [Winterswijk, hasSubMunicipality, Winterswijk Meddo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winterswijk Meddo
Context triple: [Winterswijk, hasSubMunicipality, Winterswijk Meddo]
  • A. Winterswijk chosen
    Winterswijk is a town in the eastern Netherlands known for its rural landscape, textile-industry history, and location near the German border.
  • B. Westwijk
    Westwijk is a residential district in Amstelveen, Netherlands, served as the southern terminus of Amsterdam’s former metro line 51.
  • C. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • D. Uithuizermeeden
    Uithuizermeeden is a village in the Dutch province of Groningen, known for its historic church and rural surroundings.
  • E. Schijndel
    Schijndel is a town in the Dutch province of North Brabant, known for its rural character and location between the cities of ’s-Hertogenbosch and Eindhoven.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029a34bc8190ae892ef7b09fc9e9 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.