Triple

T11331211
Position Surface form Disambiguated ID Type / Status
Subject Carnaval de Guaranda E268347 entity
Predicate locatedIn P40 FINISHED
Object Guaranda E54570 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: Guaranda | Statement: [Carnaval de Guaranda, locatedIn, Guaranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guaranda
Context triple: [Carnaval de Guaranda, locatedIn, Guaranda]
  • A. Guaranda chosen
    Guaranda is a small Andean city in central Ecuador known for its traditional architecture, indigenous culture, and vibrant Carnival celebrations.
  • B. Potos
    Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
  • C. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • D. Paraguayan peso
    The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
  • E. Peruvian sol
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities throughout the country.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fd38308190a5458be1bfcc89ea completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e526236b688190aca4f2400a12e726 completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.