Triple

T20641322
Position Surface form Disambiguated ID Type / Status
Subject Anseremme E507230 entity
Predicate near P350 FINISHED
Object Dinant NE NERFINISHED

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: [Anseremme, near, Dinant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinant
Context triple: [Anseremme, near, 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. Villerupt
    Villerupt is a commune in northeastern France near the Luxembourg border, known for its industrial heritage and annual Italian film festival.
  • C. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • D. Couvin
    Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
  • E. Comines
    Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1b9e888190b61edffea16487d7 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.