Triple

T22638202
Position Surface form Disambiguated ID Type / Status
Subject Cinca E558738 entity
Predicate flowsThrough P225 FINISHED
Object Aínsa NE NERFINISHED

How this triple was built (2 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: Aínsa | Statement: [Cinca, flowsThrough, Aínsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aínsa
Context triple: [Cinca, flowsThrough, Aínsa]
  • A. Aínsa chosen
    Aínsa is a historic medieval town in northeastern Spain, renowned for its well-preserved old quarter and hilltop castle overlooking the Pyrenees.
  • B. Urrugne
    Urrugne is a commune in the Pyrénées-Atlantiques department of southwestern France, located in the Basque Country near the Atlantic coast and the Spanish border.
  • C. Biarra
    Biarra is a rural locality and small town in the Somerset Region of Queensland, Australia, known for its agricultural landscape and quiet country character.
  • D. Ansoáin
    Ansoáin is a municipality in northern Spain that forms part of the urban area of Pamplona in the autonomous community of Navarre.
  • E. Elorza
    Elorza is a town in the Venezuelan state of Apure known for its llanero culture and traditional folk celebrations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700f9fac8190b82190a54be22413 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.