Triple

T12427846
Position Surface form Disambiguated ID Type / Status
Subject Naut Aran E296943 entity
Predicate contains P35 FINISHED
Object Bagergue
Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
 E990326 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: Bagergue | Statement: [Naut Aran, contains, Bagergue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bagergue
Context triple: [Naut Aran, contains, Bagergue]
  • A. Oña
    Oña is a small town in southern Ecuador known for its rural Andean setting and role as a local administrative and agricultural center within Azuay Province.
  • B. Tudela
    Tudela is a historic city in northern Spain, known for its rich medieval heritage, strategic location along the Ebro River, and distinctive blend of Christian, Muslim, and Jewish cultural influences.
  • C. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • D. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • E. La Bañeza
    La Bañeza is a small historic city in northwestern Spain known for its cultural festivals and traditional architecture.
  • 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: Bagergue
Triple: [Naut Aran, contains, Bagergue]
Generated description
Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bagergue
Target entity description: Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
  • A. Oña
    Oña is a small town in southern Ecuador known for its rural Andean setting and role as a local administrative and agricultural center within Azuay Province.
  • B. Tudela
    Tudela is a historic city in northern Spain, known for its rich medieval heritage, strategic location along the Ebro River, and distinctive blend of Christian, Muslim, and Jewish cultural influences.
  • C. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • D. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • E. La Bañeza
    La Bañeza is a small historic city in northwestern Spain known for its cultural festivals and traditional architecture.
  • 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_69f6556686448190ad408b826ebc01c0 completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f656d02afc81909712182034bec255 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657ea0c6c8190992a0101904e92f2 completed May 2, 2026, 8 p.m.
Created at: April 8, 2026, 9:55 p.m.