Triple

T16762333
Position Surface form Disambiguated ID Type / Status
Subject Quetzaltenango Department E407376 entity
Predicate ethnicGroup P194 FINISHED
Object Mam Maya E819765 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: Mam Maya | Statement: [Quetzaltenango Department, ethnicGroup, Mam Maya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mam Maya
Context triple: [Quetzaltenango Department, ethnicGroup, Mam Maya]
  • A. Mam Maya chosen
    Mam Maya are an Indigenous Maya people of the highlands of Guatemala and parts of Mexico, known for their distinct Mayan language, traditional weaving, and resilient cultural practices.
  • B. Maiya
    Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
  • C. Mama Tata
    Mama Tata is a syncretic indigenous religious movement of the Ngäbe-Buglé people in Panama that blends traditional beliefs with elements of Christianity.
  • D. Mama Gunda
    Mama Gunda is a tough, domineering female gorilla and the overprotective mother of Uto and Kago in Disney’s animated film "Tarzan II."
  • E. Majha
    Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abee862c819086d9bf01e623a8ce completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52d077081908080c61da67e0032 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.