Triple

T11110538
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Liège E262742 entity
Predicate contains P35 FINISHED
Object Chaudfontaine E301964 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: Chaudfontaine | Statement: [Arrondissement of Liège, contains, Chaudfontaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaudfontaine
Context triple: [Arrondissement of Liège, contains, Chaudfontaine]
  • A. Chaudfontaine chosen
    Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
  • B. Lannesdorf
    Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
  • C. Berlencourt
    Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France 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. Plancenoit
    Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441c3b1788190868fae6919544149 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.