Triple

T11817252
Position Surface form Disambiguated ID Type / Status
Subject Vaux-sur-Sûre E281032 entity
Predicate hasSubdivision P747 FINISHED
Object Rosières
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
E968406 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: Rosières | Statement: [Vaux-sur-Sûre, hasSubdivision, Rosières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosières
Context triple: [Vaux-sur-Sûre, hasSubdivision, Rosières]
  • A. Rosières
    Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
  • B. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Chevenoz
    Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
  • D. Lignères
    Lignères is a small commune in northern France located within the administrative area of the canton of Breteuil in the Eure department of Normandy.
  • E. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • 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: Rosières
Triple: [Vaux-sur-Sûre, hasSubdivision, Rosières]
Generated description
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rosières
Target entity description: Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • A. Rosières
    Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
  • B. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Chevenoz
    Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
  • D. Lignères
    Lignères is a small commune in northern France located within the administrative area of the canton of Breteuil in the Eure department of Normandy.
  • E. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5589408190a0bc8f3731a8669f completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60c06e4c08190985114da9317e8fd completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c97a7e08190b782b3aa6d60d770 completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:42 p.m.