Triple

T1354528
Position Surface form Disambiguated ID Type / Status
Subject Nayarit E28956 entity
Predicate contains P35 FINISHED
Object Tuxpan
Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
 E177417 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: Tuxpan | Statement: [Nayarit, contains, Tuxpan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuxpan
Context triple: [Nayarit, contains, Tuxpan]
  • A. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • B. Guasave
    Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
  • C. Cobá
    Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
  • D. Tepic
    Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
  • E. San Andrés Totoltepec
    San Andrés Totoltepec is a neighborhood and former village located in the southern part of Mexico City within the borough of Tlalpan.
  • 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: Tuxpan
Triple: [Nayarit, contains, Tuxpan]
Generated description
Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuxpan
Target entity description: Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • A. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • B. Guasave
    Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
  • C. Cobá
    Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
  • D. Tepic
    Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
  • E. San Andrés Totoltepec
    San Andrés Totoltepec is a neighborhood and former village located in the southern part of Mexico City within the borough of Tlalpan.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28afc848190925d8b2f9aeac12d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f900848190bb00cd7ad8eada60 completed March 8, 2026, 8:44 a.m.
NEDg Description generation batch_69ad38706fcc81909e42a6a713605237 completed March 8, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69ad38c50fd8819087cce60b83017766 completed March 8, 2026, 8:52 a.m.
Created at: March 1, 2026, 7:56 p.m.