Triple

T16972185
Position Surface form Disambiguated ID Type / Status
Subject Cofán people E411713 entity
Predicate alternativeName P39 FINISHED
Object Cofan E1243170 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: Cofan | Statement: [Cofán people, alternativeName, Cofan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cofan
Context triple: [Cofán people, alternativeName, Cofan]
  • A. Cofán chosen
    Cofán are an Indigenous people of the Amazon rainforest region of northeastern Ecuador and southern Colombia, known for their distinct language, traditional ecological knowledge, and resistance to environmental degradation of their ancestral lands.
  • B. Moncofa
    Moncofa is a coastal resort town on Spain’s Costa del Azahar known for its Mediterranean beaches and holiday tourism.
  • C. Opañel
    Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
  • D. Kofyar
    Kofyar is a West Chadic language spoken by the Kofyar people in central Nigeria, particularly in Plateau State.
  • E. The Carbonas
    The Carbonas are an Atlanta-based punk rock band known for their raw, fast, and hook-driven garage punk sound that gained a cult following in the 2000s underground scene.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ad04ac81909a11b45be567613a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.