Triple

T22672492
Position Surface form Disambiguated ID Type / Status
Subject Concepción Tutuapa E560254 entity
Predicate languageSpoken P151 FINISHED
Object Mam language 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: Mam language | Statement: [Concepción Tutuapa, languageSpoken, Mam language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mam language
Context triple: [Concepción Tutuapa, languageSpoken, Mam language]
  • A. Mam language chosen
    Mam language is a Mayan language spoken primarily by the Mam people in the highland regions of Guatemala and parts of southern Mexico.
  • B. Mamulique language
    The Mamulique language is an extinct and poorly documented indigenous language once spoken in northeastern Mexico, generally classified within the Coahuiltecan group.
  • C. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • D. Mamfe languages
    The Mamfe languages are a small group of closely related Niger-Congo languages spoken primarily in the Mamfe region of southwestern Cameroon.
  • E. Maram language
    The Maram language is an Austroasiatic language spoken by the Maram Naga community in parts of Northeast India, particularly in Manipur.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.