Triple

T20709362
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Charleroi E508991 entity
Predicate containsMunicipality P852 FINISHED
Object Farciènes NE NERFINISHED

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: Farciènes | Statement: [Arrondissement of Charleroi, containsMunicipality, Farciènes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farciènes
Context triple: [Arrondissement of Charleroi, containsMunicipality, Farciènes]
  • A. Farciennes chosen
    Farciennes is an industrial town in the Walloon region of Belgium, historically associated with coal mining and heavy industry.
  • B. Gréolières
    Gréolières is a small mountain village in southeastern France, known for its scenic setting in the Alpes-Maritimes and proximity to outdoor activities like hiking and skiing.
  • C. Vulaignots
    Vulaignots are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
  • D. Brengues
    Brengues is a small rural village in southwestern France, known for its scenic limestone cliffs and location in the Célé Valley.
  • E. Commenailles
    Commenailles is a small rural commune in the Jura department of eastern France, known for its agricultural landscape within the Bourgogne-Franche-Comté region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1961090819090daf7254f90a176 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.