Triple

T12504413
Position Surface form Disambiguated ID Type / Status
Subject General Felipe Varela Department E298910 entity
Predicate hasNotableLocality P40907 FINISHED
Object Guandacol E986686 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: Guandacol | Statement: [General Felipe Varela Department, hasNotableLocality, Guandacol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guandacol
Context triple: [General Felipe Varela Department, hasNotableLocality, Guandacol]
  • A. Guandacol chosen
    Guandacol is a small town in northwestern Argentina, located in La Rioja Province and known for its arid landscapes and nearby paleontological sites.
  • B. Argençola
    Argençola is a small municipality in the comarca of Anoia in Catalonia, Spain, known for its rural landscape and historic village core.
  • C. Tucabia
    Tucabia is a small rural village in New South Wales, Australia, situated within the Clarence Valley region and known for its quiet, agricultural character.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Salcedo
    Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
  • 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_69f65570401c819084f9db2eff5fdf3e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.