Triple

T2122487
Position Surface form Disambiguated ID Type / Status
Subject Voies navigables de France E43956 entity
Predicate headquartersLocation P62 FINISHED
Object Béthune E186103 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: Béthune | Statement: [Voies navigables de France, headquartersLocation, Béthune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béthune
Context triple: [Voies navigables de France, headquartersLocation, Béthune]
  • A. Béthune chosen
    Béthune is a historic town in northern France known for its medieval belfry and role as a regional center in the former County of Artois.
  • B. Sainte-Mesme
    Sainte-Mesme is a small commune in the Île-de-France region of north-central France.
  • C. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • D. Cambrésis
    Cambrésis is a historic region in northern France centered around the city of Cambrai, known for its medieval bishopric and strategic importance in European conflicts.
  • E. Gouy, Aisne
    Gouy is a commune in the Aisne department of northern France, notable as the area where the Scheldt River has its source.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb51e8088190a1aeafee4e8dff63 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51999ca08190a726040df6825ba5 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.