Triple

T13048489
Position Surface form Disambiguated ID Type / Status
Subject Condroz E327385 entity
Predicate containsSettlement P847 FINISHED
Object Estinnes
Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
E1052403 NE FINISHED

How this triple was built (4 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: Estinnes | Statement: [Condroz, containsSettlement, Estinnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estinnes
Context triple: [Condroz, containsSettlement, Estinnes]
  • A. Elsene
    Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
  • B. Tessenderlo
    Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
  • C. Boudry
    Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
  • D. Tombeek
    Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • E. Veeningen
    Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Estinnes
Triple: [Condroz, containsSettlement, Estinnes]
Generated description
Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Estinnes
Target entity description: Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
  • A. Elsene
    Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
  • B. Tessenderlo
    Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
  • C. Boudry
    Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
  • D. Tombeek
    Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • E. Veeningen
    Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • F. None of above. chosen

Provenance (5 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_69f78acb7ee0819093e61c5b8eb7da38 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd316788190a245e8199f6ac87b completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 8:57 p.m.