Triple

T1713766
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Community E37242 entity
Predicate contains P35 FINISHED
Object Bütgenbach E58777 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: Bütgenbach | Statement: [German-speaking Community, contains, Bütgenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bütgenbach
Context triple: [German-speaking Community, contains, Bütgenbach]
  • A. Bütgenbach chosen
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • B. Verviers
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • C. Mechernich
    Mechernich is a small town in the Eifel region of North Rhine-Westphalia, Germany, known for its rural landscape and cultural landmarks such as the Bruder Klaus Field Chapel.
  • D. Porrentruy
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • E. Ettelbruck
    Ettelbruck is a town in north-central Luxembourg known for its strategic role in World War II and its commemoration of the country’s liberation.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63174b3c8190bd2406c78407be28 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b9a2f4819082ca2e9f838f7b9e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:30 p.m.