Triple

T9349685
Position Surface form Disambiguated ID Type / Status
Subject Tarija Department E224982 entity
Predicate containsCity P294 FINISHED
Object Villamontes E487921 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: Villamontes | Statement: [Tarija Department, containsCity, Villamontes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villamontes
Context triple: [Tarija Department, containsCity, Villamontes]
  • A. Villamontes chosen
    Villamontes is a town in southeastern Bolivia known as a regional center in the Gran Chaco area and a key crossing point near the border with Paraguay.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Yoncalla
    Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
  • D. Rinconada
    Rinconada is a small rural municipality and town in the Los Andes Province of Chile, known for its agricultural activities and Andean foothill landscapes.
  • E. Rinconada
    Rinconada is a Bikol language variety spoken in the Bicol Region of the Philippines, particularly around the Rinconada district of Camarines Sur.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f1198b88190adc0b01f7c1be36e completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e43c31008190b542a9c5aa33f30e completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.