Triple

T19406476
Position Surface form Disambiguated ID Type / Status
Subject Pehuenches Department E485475 entity
Predicate capital P234 FINISHED
Object Rincón de los Sauces 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: Rincón de los Sauces | Statement: [Pehuenches Department, capital, Rincón de los Sauces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rincón de los Sauces
Context triple: [Pehuenches Department, capital, Rincón de los Sauces]
  • A. Rincón de los Sauces chosen
    Rincón de los Sauces is a city in western Argentina known as a major center of oil and gas production.
  • B. Las Peñas
    Las Peñas is a historic, colorful riverside neighborhood in Guayaquil, Ecuador, known for its colonial-era houses, art galleries, and panoramic views from the Santa Ana hill.
  • C. Los Sauces
    Los Sauces is a small town and commune in Chile’s Araucanía Region, known for its rural character and forestry-based economy.
  • D. Las Lajas
    Las Lajas is a small town in Argentina’s Neuquén Province, known as a service and transit hub for travelers crossing the Andes via the nearby Paso Pino Hachado mountain pass.
  • E. Las Lajas
    Las Lajas is a town located within Honduras’s Comayagua Department, known as one of the region’s smaller rural settlements.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257af68881908147beedc29ff64c completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.