Triple

T4050583
Position Surface form Disambiguated ID Type / Status
Subject Lake Atitlán E84173 entity
Predicate hasLanguageSpoken P741 FINISHED
Object Tzʼutujil E409679 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: Tzʼutujil | Statement: [Lake Atitlán, hasLanguageSpoken, Tzʼutujil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tzʼutujil
Context triple: [Lake Atitlán, hasLanguageSpoken, Tzʼutujil]
  • A. Tzʼutujil Maya chosen
    The Tzʼutujil Maya are an Indigenous Maya people of the Guatemalan highlands known for their rich linguistic and cultural traditions, vibrant textiles, and communities around Lake Atitlán.
  • B. Zapotitlán Totonac
    Zapotitlán Totonac is a regional variety of the Totonac language spoken by indigenous Totonac communities in and around Zapotitlán, Mexico.
  • C. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • D. Totonicapán
    Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
  • E. Ixcatec
    Ixcatec is an indigenous Oto-Manguean language of Mexico spoken by a very small and endangered community in Oaxaca.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629e75e88190935ae3e7db8eb12f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.