Triple

T20235877
Position Surface form Disambiguated ID Type / Status
Subject Confluencia Department E498146 entity
Predicate contains P35 FINISHED
Object Villa El Chocón 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: Villa El Chocón | Statement: [Confluencia Department, contains, Villa El Chocón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa El Chocón
Context triple: [Confluencia Department, contains, Villa El Chocón]
  • A. Villa El Chocón chosen
    Villa El Chocón is a small town in Argentina’s Neuquén Province known for its rich dinosaur fossil sites and paleontological significance.
  • B. Villa Tehuelches
    Villa Tehuelches is a small rural settlement in Chilean Patagonia that serves as the administrative center of the Laguna Blanca commune in the Magallanes Region.
  • C. Villa La Unión
    Villa La Unión is a town in central Ecuador that serves as the administrative center of Colta Canton in Chimborazo Province.
  • D. Villa María del Triunfo
    Villa María del Triunfo is a populous urban district and residential area located in the southern part of Lima, Peru.
  • E. Villa Carlos Paz
    Villa Carlos Paz is a popular tourist city in central Argentina, known for its scenic lakeside setting in the Sierras de Córdoba and vibrant leisure and entertainment offerings.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716995b88190a8514b41232b0e94 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.