Triple

T16412513
Position Surface form Disambiguated ID Type / Status
Subject Alta Verapaz Department E398600 entity
Predicate largestCity P235 FINISHED
Object Cobán E388691 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: Cobán | Statement: [Alta Verapaz Department, largestCity, Cobán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobán
Context triple: [Alta Verapaz Department, largestCity, Cobán]
  • A. Cobán chosen
    Cobán is a city in central Guatemala known for its cool highland climate, coffee production, and proximity to natural attractions like Semuc Champey.
  • B. Aguaytía
    Aguaytía is a town in Peru’s Ucayali region, known as a gateway to the Amazon rainforest and for its nearby waterfalls and oil and gas activities.
  • C. Cocama-Cocamilla
    Cocama-Cocamilla are an indigenous people of the western Amazon, primarily in Peru’s Loreto Region, known for their distinct Cocama language and riverine culture along the Amazon and its tributaries.
  • D. Chayahuita
    Chayahuita is an indigenous language of the Peruvian Amazon, spoken by the Chayahuita (Shawi) people and belonging to the Cahuapanan language family.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32875bad08190bc3e2218df8c1b07 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457d9f4081908a5f28eeafc44695 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.