Triple

T12427797
Position Surface form Disambiguated ID Type / Status
Subject Vielha e Mijaran E296942 entity
Predicate hasSettlement P1068 FINISHED
Object Betren
Betren is a village in the Val d'Aran region of Catalonia, Spain, known as one of the constituent settlements of the municipality of Vielha e Mijaran.
 E981973 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: Betren | Statement: [Vielha e Mijaran, hasSettlement, Betren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Betren
Context triple: [Vielha e Mijaran, hasSettlement, Betren]
  • A. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • B. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • C. Brey
    Brey is the paternal surname of Spanish politician Mariano Rajoy Brey, who served as Prime Minister of Spain from 2011 to 2018.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • 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: Betren
Triple: [Vielha e Mijaran, hasSettlement, Betren]
Generated description
Betren is a village in the Val d'Aran region of Catalonia, Spain, known as one of the constituent settlements of the municipality of Vielha e Mijaran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Betren
Target entity description: Betren is a village in the Val d'Aran region of Catalonia, Spain, known as one of the constituent settlements of the municipality of Vielha e Mijaran.
  • A. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • B. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • C. Brey
    Brey is the paternal surname of Spanish politician Mariano Rajoy Brey, who served as Prime Minister of Spain from 2011 to 2018.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63499061881908d25af7c3474f774 completed May 2, 2026, 5:30 p.m.
NEDg Description generation batch_69f636cf7d808190bf3c1c84bdaf414e completed May 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69f6380223d08190959e524ad146d0e0 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:55 p.m.