Triple

T14581486
Position Surface form Disambiguated ID Type / Status
Subject Zinacantepec E342202 entity
Predicate borderedBy P224 FINISHED
Object Rayón
Rayón is a municipality in the State of Mexico, central Mexico, known for its rural communities and proximity to the Toluca metropolitan area.
 E1107812 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: Rayón | Statement: [Zinacantepec, borderedBy, Rayón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rayón
Context triple: [Zinacantepec, borderedBy, Rayón]
  • A. Rubí
    Rubí is a municipality in the comarca of Vallès Occidental in Catalonia, Spain, known as a residential and industrial town within the Barcelona metropolitan area.
  • B. Rubia
    Rubia is a genus of flowering plants in the coffee family known for species like madder, historically used as a source of red dye.
  • C. Rubini
    Rubini is an Italian surname most notably associated with actor and film director Sergio Rubini.
  • D. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • E. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • 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: Rayón
Triple: [Zinacantepec, borderedBy, Rayón]
Generated description
Rayón is a municipality in the State of Mexico, central Mexico, known for its rural communities and proximity to the Toluca metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rayón
Target entity description: Rayón is a municipality in the State of Mexico, central Mexico, known for its rural communities and proximity to the Toluca metropolitan area.
  • A. Rubí
    Rubí is a municipality in the comarca of Vallès Occidental in Catalonia, Spain, known as a residential and industrial town within the Barcelona metropolitan area.
  • B. Rubia
    Rubia is a genus of flowering plants in the coffee family known for species like madder, historically used as a source of red dye.
  • C. Rubini
    Rubini is an Italian surname most notably associated with actor and film director Sergio Rubini.
  • D. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • E. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b832b08190965b727baa700403 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd959751d48190890dcce97f50ff07 completed May 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd966727088190a151f4790b434354 completed May 8, 2026, 7:53 a.m.
Created at: April 10, 2026, 1:24 a.m.