Triple

T10689354
Position Surface form Disambiguated ID Type / Status
Subject Juchitán de Zaragoza E251966 entity
Predicate hasNotableGroup P4297 FINISHED
Object muxe
A muxe is a person in Zapotec culture, particularly in Oaxaca, Mexico, who is assigned male at birth but embodies a feminine or nonbinary gender role recognized as a distinct, traditional third gender.
 E879213 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: muxe | Statement: [Juchitán de Zaragoza, hasNotableGroup, muxe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: muxe
Context triple: [Juchitán de Zaragoza, hasNotableGroup, muxe]
  • A. MUT
    MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
  • B. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • C. MUG
    MUG is the commonly used abbreviation for the Medical University of Gdańsk, a major medical education and research institution in Poland.
  • D. Mul
    Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
  • E. MUGI
    MUGI is a stream cipher designed by cryptographer Joan Daemen, known for its role in modern symmetric-key cryptography research.
  • 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: muxe
Triple: [Juchitán de Zaragoza, hasNotableGroup, muxe]
Generated description
A muxe is a person in Zapotec culture, particularly in Oaxaca, Mexico, who is assigned male at birth but embodies a feminine or nonbinary gender role recognized as a distinct, traditional third gender.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: muxe
Target entity description: A muxe is a person in Zapotec culture, particularly in Oaxaca, Mexico, who is assigned male at birth but embodies a feminine or nonbinary gender role recognized as a distinct, traditional third gender.
  • A. MUT
    MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
  • B. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • C. MUG
    MUG is the commonly used abbreviation for the Medical University of Gdańsk, a major medical education and research institution in Poland.
  • D. Mul
    Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
  • E. MUGI
    MUGI is a stream cipher designed by cryptographer Joan Daemen, known for its role in modern symmetric-key cryptography research.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1aef888190ba92474af3a49e36 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.