Triple

T1345972
Position Surface form Disambiguated ID Type / Status
Subject Sinaloa E28571 entity
Predicate hasMunicipalities P747 FINISHED
Object San Ignacio
San Ignacio is a municipality in the Mexican state of Sinaloa known for its rural communities, mining history, and scenic river valleys.
E157504 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: San Ignacio | Statement: [Sinaloa, hasMunicipalities, San Ignacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ignacio
Context triple: [Sinaloa, hasMunicipalities, San Ignacio]
  • A. San Ignacio
    San Ignacio is a popular inland town in western Belize known as a cultural hub and gateway to nearby Maya archaeological sites and rainforest adventures.
  • B. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • C. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • D. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • E. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • 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: San Ignacio
Triple: [Sinaloa, hasMunicipalities, San Ignacio]
Generated description
San Ignacio is a municipality in the Mexican state of Sinaloa known for its rural communities, mining history, and scenic river valleys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Ignacio
Target entity description: San Ignacio is a municipality in the Mexican state of Sinaloa known for its rural communities, mining history, and scenic river valleys.
  • A. San Ignacio
    San Ignacio is a popular inland town in western Belize known as a cultural hub and gateway to nearby Maya archaeological sites and rainforest adventures.
  • B. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • C. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • D. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • E. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47917d88190a13d7705f09c0b58 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd5314ac08190abf0ed287689dc5f completed March 8, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69acd59842f08190976724ad981de3d8 completed March 8, 2026, 1:49 a.m.
Created at: March 1, 2026, 7:56 p.m.