Triple

T9481424
Position Surface form Disambiguated ID Type / Status
Subject Maubeuge E228647 entity
Predicate regionHistorically P12102 FINISHED
Object Hainaut E86438 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: Hainaut | Statement: [Maubeuge, regionHistorically, Hainaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainaut
Context triple: [Maubeuge, regionHistorically, Hainaut]
  • A. Hainaut chosen
    Hainaut is a historical region in western Europe, now divided between Belgium and France, known for its medieval heritage and role as a frequent battleground in European conflicts.
  • B. Putot-en-Bessin
    Putot-en-Bessin is a small commune in the Calvados department of Normandy in northwestern France, known for its rural character and World War II history.
  • C. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • D. Rouvroy
    Rouvroy is a small municipality in the Walloon region of southern Belgium, located within Luxembourg Province near the French border.
  • E. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8018645c8190823d82a93635b345 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cfebb6c8190af3296c7bfd8b3e4 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:54 p.m.