Triple

T13711080
Position Surface form Disambiguated ID Type / Status
Subject Minett region E328772 entity
Predicate hasCity P316 FINISHED
Object Differdange E334753 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: Differdange | Statement: [Minett region, hasCity, Differdange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Differdange
Context triple: [Minett region, hasCity, Differdange]
  • A. Differdange chosen
    Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
  • B. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • C. 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.
  • D. Bütgenbach
    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.
  • E. Rixensart
    Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd9498f8848190a170a3d41c9e3a76 completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 9:54 p.m.