Triple

T19852301
Position Surface form Disambiguated ID Type / Status
Subject General Conesa Department E477027 entity
Predicate hasNameOrigin P3325 FINISHED
Object General Conesa 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: General Conesa | Statement: [General Conesa Department, hasNameOrigin, General Conesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Conesa
Context triple: [General Conesa Department, hasNameOrigin, General Conesa]
  • A. General Conesa chosen
    General Conesa is a town in the Río Negro Province of Argentina that serves as an administrative and service center for the surrounding rural region.
  • B. Gasparde
    Gasparde is a feminine given name of French origin, serving as the female form of Gaspard.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Almendros
    Almendros is a Spanish surname most notably associated with Néstor Almendros, the acclaimed cinematographer known for his work on films such as "Days of Heaven."
  • E. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65869e1b481908e2a2a2074ff4a6d completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.