Triple

T20402672
Position Surface form Disambiguated ID Type / Status
Subject Ukhu Pacha E500375 entity
Predicate contrastsWith P278 FINISHED
Object Kay Pacha 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: Kay Pacha | Statement: [Ukhu Pacha, contrastsWith, Kay Pacha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kay Pacha
Context triple: [Ukhu Pacha, contrastsWith, Kay Pacha]
  • A. Kay Pacha chosen
    Kay Pacha is the middle world of Andean cosmology, representing the earthly realm where humans live between the upper and lower spiritual worlds.
  • B. Chuj Maya
    Chuj Maya are an indigenous Maya people of the western highlands of Guatemala, known for their distinct Mayan language and traditional cultural practices.
  • C. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • D. Momostenango Kʼicheʼ
    Momostenango Kʼicheʼ is a regional variety of the Kʼicheʼ Mayan language spoken primarily in and around the municipality of Momostenango in Guatemala.
  • E. Pico Bonito
    Pico Bonito is a prominent mountain in northern Honduras known for its steep, forested slopes and rich biodiversity within the country's tropical rainforest region.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798fc3b88190a372c34102bfaa6f completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:29 a.m.