Triple

T12504392
Position Surface form Disambiguated ID Type / Status
Subject General Felipe Varela Department E298910 entity
Predicate capital P234 FINISHED
Object Villa Unión E298904 NE FINISHED

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 Unión | Statement: [General Felipe Varela Department, capital, Villa Unión]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa Unión
Context triple: [General Felipe Varela Department, capital, Villa Unión]
  • A. Villa Unión chosen
    Villa Unión is a small town in western Argentina known as a gateway to the Talampaya National Park and other scenic desert landscapes in La Rioja Province.
  • B. Villa La Unión
    Villa La Unión is a town in central Ecuador that serves as the administrative center of Colta Canton in Chimborazo Province.
  • C. Villa Independencia
    Villa Independencia is the former name of Fray Bentos, a city in western Uruguay known historically for its meatpacking industry and as a UNESCO World Heritage Site.
  • D. Villa Mercedes
    Villa Mercedes is a major urban and industrial center in central Argentina, located in the province of San Luis.
  • E. Villa Las Estrellas
    Villa Las Estrellas is a small Chilean civilian settlement and research support community located on King George Island in Antarctica.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6a590881908b0fe779f3698ea2 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:57 p.m.