Triple

T2286251
Position Surface form Disambiguated ID Type / Status
Subject Zapotec E51396 entity
Predicate neighboringCulture P11274 FINISHED
Object Mixe
The Mixe are an Indigenous people of Oaxaca, Mexico, known for their distinct language, highland communities, and resilient preservation of traditional culture.
E252385 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: Mixe | Statement: [Zapotec, neighboringCulture, Mixe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mixe
Context triple: [Zapotec, neighboringCulture, Mixe]
  • A. Muladíes
    Muladíes were Muslims in medieval Iberia of local Christian or mixed origin who had converted to Islam, forming a significant part of the population in al-Andalus and later Muslim-ruled kingdoms like Granada.
  • B. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • C. Nonette
    Nonette is a small river in northern France that flows through the Oise department and serves as one of its tributaries.
  • D. Metis
    Metis is a Titaness in Greek mythology associated with wisdom and cunning, best known as the mother of Athena.
  • E. Mishanya
    Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
  • 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: Mixe
Triple: [Zapotec, neighboringCulture, Mixe]
Generated description
The Mixe are an Indigenous people of Oaxaca, Mexico, known for their distinct language, highland communities, and resilient preservation of traditional culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mixe
Target entity description: The Mixe are an Indigenous people of Oaxaca, Mexico, known for their distinct language, highland communities, and resilient preservation of traditional culture.
  • A. Muladíes
    Muladíes were Muslims in medieval Iberia of local Christian or mixed origin who had converted to Islam, forming a significant part of the population in al-Andalus and later Muslim-ruled kingdoms like Granada.
  • B. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • C. Nonette
    Nonette is a small river in northern France that flows through the Oise department and serves as one of its tributaries.
  • D. Metis
    Metis is a Titaness in Greek mythology associated with wisdom and cunning, best known as the mother of Athena.
  • E. Mishanya
    Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b3d4988190bceb3dffa9734f4b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1759b081908842f7ad189994ff completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fc194488190bb71124f0225a521 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae802d03648190a71303daf20e6162 completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:48 p.m.