Triple

T8168443
Position Surface form Disambiguated ID Type / Status
Subject Namur Province E190753 entity
Predicate contains P35 FINISHED
Object Florennes E236971 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: Florennes | Statement: [Namur Province, contains, Florennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florennes
Context triple: [Namur Province, contains, Florennes]
  • A. Florennes chosen
    Florennes is a municipality in the Wallonia region of Belgium, known for hosting a major military air base and its surrounding rural landscape.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. Seneffe
    Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
  • D. Flémalle
    Flémalle is a municipality in eastern Belgium known for its industrial heritage and location along the Meuse River in the province of Liège.
  • E. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb466abfe48190b4eb2f23b1e28668 completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf4b68288190be7490119d46b242 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:39 p.m.