Triple

T3733544
Position Surface form Disambiguated ID Type / Status
Subject Totonac E79124 entity
Predicate hasLanguage P15 FINISHED
Object Zapotitlán Totonac
Zapotitlán Totonac is a regional variety of the Totonac language spoken by indigenous Totonac communities in and around Zapotitlán, Mexico.
 E395779 NE FINISHED

How this triple was built (4 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: Zapotitlán Totonac | Statement: [Totonac, hasLanguage, Zapotitlán Totonac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zapotitlán Totonac
Context triple: [Totonac, hasLanguage, Zapotitlán Totonac]
  • A. Xicotepec Totonac
    Xicotepec Totonac is a regional variety of the Totonac language spoken by Totonac communities in and around Xicotepec, Mexico.
  • B. Misantla Totonac
    Misantla Totonac is an indigenous Totonacan language spoken in the Misantla region of Veracruz, Mexico.
  • C. Papantla Totonac
    Papantla Totonac is an indigenous Totonacan language spoken primarily in and around Papantla in the state of Veracruz, Mexico.
  • D. Tecpatlán Totonac
    Tecpatlán Totonac is a regional variety of the Totonac language traditionally spoken by Totonac communities in and around Tecpatlán in eastern Mexico.
  • E. Mazahua
    Mazahua is an indigenous Oto-Manguean language spoken by the Mazahua people of central Mexico, particularly in the State of Mexico and surrounding areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zapotitlán Totonac
Triple: [Totonac, hasLanguage, Zapotitlán Totonac]
Generated description
Zapotitlán Totonac is a regional variety of the Totonac language spoken by indigenous Totonac communities in and around Zapotitlán, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zapotitlán Totonac
Target entity description: Zapotitlán Totonac is a regional variety of the Totonac language spoken by indigenous Totonac communities in and around Zapotitlán, Mexico.
  • A. Xicotepec Totonac
    Xicotepec Totonac is a regional variety of the Totonac language spoken by Totonac communities in and around Xicotepec, Mexico.
  • B. Misantla Totonac
    Misantla Totonac is an indigenous Totonacan language spoken in the Misantla region of Veracruz, Mexico.
  • C. Papantla Totonac
    Papantla Totonac is an indigenous Totonacan language spoken primarily in and around Papantla in the state of Veracruz, Mexico.
  • D. Tecpatlán Totonac
    Tecpatlán Totonac is a regional variety of the Totonac language traditionally spoken by Totonac communities in and around Tecpatlán in eastern Mexico.
  • E. Mazahua
    Mazahua is an indigenous Oto-Manguean language spoken by the Mazahua people of central Mexico, particularly in the State of Mexico and surrounding areas.
  • F. None of above. chosen

Provenance (5 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb2457f08190a6b94e9895fced2c completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51211a34c8190a3cd8d45e8f7dd87 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b515c97d8c81909c65ac2e82b2d3d1 completed March 14, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69b51684ce6c819098fd3f903cc75a05 completed March 14, 2026, 8:04 a.m.
Created at: March 8, 2026, 3:34 p.m.