Triple

T1377190
Position Surface form Disambiguated ID Type / Status
Subject Zacatecas E29251 entity
Predicate hasMajorCity P316 FINISHED
Object Fresnillo
Fresnillo is a major mining city in the Mexican state of Zacatecas, known especially for its large silver deposits and production.
E158734 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: Fresnillo | Statement: [Zacatecas, hasMajorCity, Fresnillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fresnillo
Context triple: [Zacatecas, hasMajorCity, Fresnillo]
  • A. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • B. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • C. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • D. Guanajuato
    Guanajuato is a central Mexican state known for its colonial architecture, rich mining history, and vibrant cultural festivals, including the famous Cervantino Festival.
  • E. Chalco
    Chalco is a municipality in the State of Mexico, part of the Mexico City metropolitan area, known historically as a pre-Hispanic settlement near Lake Chalco.
  • 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: Fresnillo
Triple: [Zacatecas, hasMajorCity, Fresnillo]
Generated description
Fresnillo is a major mining city in the Mexican state of Zacatecas, known especially for its large silver deposits and production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fresnillo
Target entity description: Fresnillo is a major mining city in the Mexican state of Zacatecas, known especially for its large silver deposits and production.
  • A. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • B. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • C. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • D. Guanajuato
    Guanajuato is a central Mexican state known for its colonial architecture, rich mining history, and vibrant cultural festivals, including the famous Cervantino Festival.
  • E. Chalco
    Chalco is a municipality in the State of Mexico, part of the Mexico City metropolitan area, known historically as a pre-Hispanic settlement near Lake Chalco.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd488698481909411c004aadfcaec completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd625592481908c688802ce8381ee completed March 8, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69acd6daf83881909cf5a4105ebf14a5 completed March 8, 2026, 1:54 a.m.
Created at: March 1, 2026, 7:59 p.m.