Triple

T1587063
Position Surface form Disambiguated ID Type / Status
Subject Nuevo León E34088 entity
Predicate hasMajorCity P316 FINISHED
Object Apodaca
Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
 E231906 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: Apodaca | Statement: [Nuevo León, hasMajorCity, Apodaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apodaca
Context triple: [Nuevo León, hasMajorCity, Apodaca]
  • A. Parral
    Parral is a historic mining city in the Mexican state of Chihuahua, known for its colonial architecture and its association with revolutionary leader Pancho Villa.
  • B. Parral
    Parral is a Chilean town known as the birthplace of Nobel Prize–winning poet Pablo Neruda, located in the country’s agricultural Maule Region.
  • C. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • D. Parras de la Fuente
    Parras de la Fuente is a historic town in northern Mexico renowned as one of the country’s oldest wine-producing regions and a notable center of viticulture in Coahuila.
  • E. Tuxpan
    Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • 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: Apodaca
Triple: [Nuevo León, hasMajorCity, Apodaca]
Generated description
Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apodaca
Target entity description: Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
  • A. Parral
    Parral is a historic mining city in the Mexican state of Chihuahua, known for its colonial architecture and its association with revolutionary leader Pancho Villa.
  • B. Parral
    Parral is a Chilean town known as the birthplace of Nobel Prize–winning poet Pablo Neruda, located in the country’s agricultural Maule Region.
  • C. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • D. Parras de la Fuente
    Parras de la Fuente is a historic town in northern Mexico renowned as one of the country’s oldest wine-producing regions and a notable center of viticulture in Coahuila.
  • E. Tuxpan
    Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090b3a20819098fdb5605ee739d7 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26e37de88190b817c24323951ea8 completed March 9, 2026, 1:48 a.m.
NEDg Description generation batch_69ae296103a88190b1b91e74fb1f6faa completed March 9, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ae29d35ccc8190b693839ac8785740 completed March 9, 2026, 2 a.m.
Created at: March 4, 2026, 7:27 p.m.