Triple

T16783456
Position Surface form Disambiguated ID Type / Status
Subject Frameries E407910 entity
Predicate hasMunicipalSections P10450 FINISHED
Object Frameries (section) E407910 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: Frameries (section) | Statement: [Frameries, hasMunicipalSections, Frameries (section)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frameries (section)
Context triple: [Frameries, hasMunicipalSections, Frameries (section)]
  • A. Frameries chosen
    Frameries is a municipality in the province of Hainaut in Wallonia, Belgium, known historically for its coal mining and as part of the Borinage industrial region.
  • B. Ferrières
    Ferrières is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and scenic Ardennes landscapes.
  • C. Feigères
    Feigères is a small French commune in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • D. Farges
    Farges is a small commune in eastern France, located in the Ain department near the Swiss border in the Auvergne-Rhône-Alpes region.
  • E. Fräschels
    Fräschels is a small municipality in the canton of Fribourg in western Switzerland, situated near the linguistic border between German- and French-speaking regions.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b218d31881908d896e688ebd171c completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab056dc88190aeb9e135ae955125 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.