Triple

T1982932
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Bastogne E43069 entity
Predicate containsMunicipality P852 FINISHED
Object Vielsalm
Vielsalm is a municipality in the Belgian province of Luxembourg, known for its Ardennes landscapes and outdoor tourism.
E221299 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: Vielsalm | Statement: [Arrondissement of Bastogne, containsMunicipality, Vielsalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vielsalm
Context triple: [Arrondissement of Bastogne, containsMunicipality, Vielsalm]
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Hyrynsalmi
    Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
  • E. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • 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: Vielsalm
Triple: [Arrondissement of Bastogne, containsMunicipality, Vielsalm]
Generated description
Vielsalm is a municipality in the Belgian province of Luxembourg, known for its Ardennes landscapes and outdoor tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vielsalm
Target entity description: Vielsalm is a municipality in the Belgian province of Luxembourg, known for its Ardennes landscapes and outdoor tourism.
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Hyrynsalmi
    Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
  • E. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb81f5dac8190b5223fe2d59ee0d4 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032e1f648190acb502b9f82fe8c2 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03b52ed08190a8c8fb8f81073bb3 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0433b90c81909af348d9a3dcdbec completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.