Triple

T20569430
Position Surface form Disambiguated ID Type / Status
Subject Purén E505051 entity
Predicate hasUrbanArea P316 FINISHED
Object town of Purén 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: town of Purén | Statement: [Purén, hasUrbanArea, town of Purén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Purén
Context triple: [Purén, hasUrbanArea, town of Purén]
  • A. Town of Peru
    The Town of Peru is a small municipality in northeastern New York State known for its rural character and proximity to Lake Champlain and the Adirondack Mountains.
  • B. Purén chosen
    Purén is a small town and commune in Chile’s Araucanía Region, known historically for its role in the Arauco War between the Spanish and the Mapuche people.
  • C. Purranque
    Purranque is a small city and commune in southern Chile known for its agricultural activities and location within the Los Lagos Region.
  • D. Apaneca town
    Apaneca town is a small highland community in western El Salvador known for its cool climate, coffee plantations, and proximity to scenic volcanic landscapes.
  • E. San Pedro de Putina Punco
    San Pedro de Putina Punco is a town in the Andean region of southeastern Peru, located within the highland Sandia Province of the Puno Department.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a4b90c81909854dac72f671eec completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.