Triple

T21544235
Position Surface form Disambiguated ID Type / Status
Subject Tatumbla E531574 entity
Predicate elevationFeature P940 FINISHED
Object Honduran highlands NE NERFINISHED

How this triple was built (3 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: Honduran highlands | Statement: [Tatumbla, elevationFeature, Honduran highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honduran highlands
Context triple: [Tatumbla, elevationFeature, Honduran highlands]
  • A. Nicaraguan highlands
    The Nicaraguan highlands are a mountainous region in northern Nicaragua characterized by rugged terrain, cooler climates, and significant ecological and agricultural importance.
  • B. Guatemala Highlands
    The Guatemala Highlands are a mountainous region in central and western Guatemala known for their volcanic landscapes, dense indigenous Maya population, and cultural and economic significance to the country.
  • C. Chiriquí Highlands
    The Chiriquí Highlands are a cool, mountainous region in western Panama known for their cloud forests, coffee plantations, and panoramic views of Volcán Barú.
  • D. Costa Rican highlands
    The Costa Rican highlands are a mountainous interior region of Costa Rica known for their cool climate, cloud forests, rich biodiversity, and coffee-growing landscapes.
  • E. Pico Duarte region
    The Pico Duarte region is a mountainous area in the Dominican Republic centered around the country’s and the Caribbean’s highest peak, known for its rugged terrain, cool climate, and popular hiking routes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Honduran highlands
Target entity description: The Honduran highlands are a mountainous region in Honduras characterized by cool climates, pine forests, and elevated terrain that shapes much of the country’s interior landscape.
  • A. Nicaraguan highlands
    The Nicaraguan highlands are a mountainous region in northern Nicaragua characterized by rugged terrain, cooler climates, and significant ecological and agricultural importance.
  • B. Guatemala Highlands
    The Guatemala Highlands are a mountainous region in central and western Guatemala known for their volcanic landscapes, dense indigenous Maya population, and cultural and economic significance to the country.
  • C. Chiriquí Highlands
    The Chiriquí Highlands are a cool, mountainous region in western Panama known for their cloud forests, coffee plantations, and panoramic views of Volcán Barú.
  • D. Costa Rican highlands
    The Costa Rican highlands are a mountainous interior region of Costa Rica known for their cool climate, cloud forests, rich biodiversity, and coffee-growing landscapes.
  • E. Pico Duarte region
    The Pico Duarte region is a mountainous area in the Dominican Republic centered around the country’s and the Caribbean’s highest peak, known for its rugged terrain, cool climate, and popular hiking routes.
  • F. None of above. chosen

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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58d66ec8190b654a46932c841d3 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.