Triple

T22162560
Position Surface form Disambiguated ID Type / Status
Subject Western Guatemala E547707 entity
Predicate hasEthnicGroup P1898 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: [Western Guatemala, hasEthnicGroup, Mam Maya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mam Maya
Context triple: [Western Guatemala, hasEthnicGroup, 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. Mammaṭa
    Mammaṭa was an influential Kashmiri Sanskrit scholar and literary theorist best known for his seminal work "Kāvyaprakāśa," which systematized the principles of poetics and literary criticism.
  • E. 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."
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2e47a88190a3b5c05398605f68 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebca89c81908f2c4c3846377be5 completed May 18, 2026, 5:08 a.m.
Created at: April 16, 2026, 8:34 p.m.