Triple

T13048464
Position Surface form Disambiguated ID Type / Status
Subject Condroz E327385 entity
Predicate containsSettlement P847 FINISHED
Object Dinant E587058 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: Dinant | Statement: [Condroz, containsSettlement, Dinant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinant
Context triple: [Condroz, containsSettlement, Dinant]
  • A. Dinant chosen
    Dinant is a picturesque Belgian town in Wallonia known for its dramatic cliffs along the Meuse River, its citadel, and as the birthplace of saxophone inventor Adolphe Sax.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Couvin
    Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
  • D. Comines
    Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
  • E. Condroz
    Condroz is a natural region of rolling hills and agricultural landscapes in southern Belgium, spanning parts of several provinces including 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fdd04c8190a86dbba1b81c8e6b completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:57 p.m.