Triple

T7160830
Position Surface form Disambiguated ID Type / Status
Subject Sambre E166937 entity
Predicate locatedInProvince P40 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: [Sambre, locatedInProvince, Hainaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainaut
Context triple: [Sambre, locatedInProvince, 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. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Langrois
    Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
  • D. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • E. Wattrelos
    Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82ce770819081dccf7ffd50c2ab completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc08b688190a00024727542c8b9 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.