Triple

T7131306
Position Surface form Disambiguated ID Type / Status
Subject Wüllen E166193 entity
Predicate partOf P40 FINISHED
Object Borken (district) E614561 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: Borken (district) | Statement: [Wüllen, partOf, Borken (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borken (district)
Context triple: [Wüllen, partOf, Borken (district)]
  • A. Borken district chosen
    Borken district is a rural administrative district in the state of North Rhine-Westphalia in western Germany, known for its small towns, agriculture, and proximity to the Dutch border.
  • B. Warendorf district
    Warendorf district is a rural administrative district in the German state of North Rhine-Westphalia, known for its agricultural landscape and equestrian traditions.
  • C. Borken
    Borken is a town in western Germany that serves as an administrative and commercial center in the state of North Rhine-Westphalia.
  • D. District of Borken
    The District of Borken is a rural administrative district in the western part of North Rhine-Westphalia, Germany, bordering the Netherlands and encompassing several towns and municipalities.
  • E. District of Coesfeld
    The District of Coesfeld is a rural administrative district in the German state of North Rhine-Westphalia, known for its small towns, agricultural landscape, and proximity to the city of Münster.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66f15b88190bc1fb0f0a8af16a6 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33eea0481909f87e0813bc35b52 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.