Triple

T10188487
Position Surface form Disambiguated ID Type / Status
Subject Florennes Air Base E236971 entity
Predicate locatedIn P40 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: [Florennes Air Base, locatedIn, Florennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florennes
Context triple: [Florennes Air Base, locatedIn, 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. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • E. Flémalle
    Flémalle is a municipality in eastern Belgium known for its industrial heritage and location along the Meuse River in the province of Liège.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ae3fe40819093080f9bf15a9608 completed April 6, 2026, 3:39 a.m.
Created at: March 30, 2026, 9:12 p.m.