Triple

T21403934
Position Surface form Disambiguated ID Type / Status
Subject Valle de Toluca E527981 entity
Predicate contains P35 FINISHED
Object Temoaya
Temoaya is a municipality in the State of Mexico known for its indigenous Otomi heritage and traditional handwoven rugs.
E1482478 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: Temoaya | Statement: [Valle de Toluca, contains, Temoaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temoaya
Context triple: [Valle de Toluca, contains, Temoaya]
  • A. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • B. Tehuacán
    Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
  • C. Acoyapa
    Acoyapa is a municipality and town in central Nicaragua, known for its agricultural economy and location within the Chontales Department.
  • D. Yálape
    Yálape is an archaeological site in Peru’s Amazonas Region, associated with the pre-Inca Chachapoya culture and known for its stone constructions in the cloud forest.
  • E. Amatitán
    Amatitán is a town in the Mexican state of Jalisco known as part of the historic tequila-producing region and a center of agave cultivation and distillation.
  • 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: Temoaya
Triple: [Valle de Toluca, contains, Temoaya]
Generated description
Temoaya is a municipality in the State of Mexico known for its indigenous Otomi heritage and traditional handwoven rugs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Temoaya
Target entity description: Temoaya is a municipality in the State of Mexico known for its indigenous Otomi heritage and traditional handwoven rugs.
  • A. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • B. Tehuacán
    Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
  • C. Acoyapa
    Acoyapa is a municipality and town in central Nicaragua, known for its agricultural economy and location within the Chontales Department.
  • D. Yálape
    Yálape is an archaeological site in Peru’s Amazonas Region, associated with the pre-Inca Chachapoya culture and known for its stone constructions in the cloud forest.
  • E. Amatitán
    Amatitán is a town in the Mexican state of Jalisco known as part of the historic tequila-producing region and a center of agave cultivation and distillation.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1729eb48190a4ea48bf1f158a37 completed April 22, 2026, 11:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb533234819086bf58c3089b1846 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea4a674819093d5bfb9e6fe69b9 completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bfa27d848190bb77d632359a11b3 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:28 p.m.