Triple

T4069628
Position Surface form Disambiguated ID Type / Status
Subject Mam E86612 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Ixil E157529 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: Ixil | Statement: [Mam, hasNeighboringLanguage, Ixil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ixil
Context triple: [Mam, hasNeighboringLanguage, Ixil]
  • A. Ixil chosen
    Ixil is a Mayan language spoken primarily by the Ixil people in the highlands of Guatemala.
  • B. Xesibe
    Xesibe are a subgroup or clan of the Xhosa people in South Africa, sharing the broader Xhosa language and cultural heritage while maintaining their own distinct lineage and traditions.
  • C. Gukumatz
    Gukumatz is a feathered serpent deity of the Kʼicheʼ Maya, closely associated with creation, wind, and wisdom and identified with the Mesoamerican god Quetzalcoatl.
  • D. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • E. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbfa45c88190b7b13b35de816378 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b6eb708190a7f60192d8df9a27 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.