Triple

T7405488
Position Surface form Disambiguated ID Type / Status
Subject Costa Chica of Guerrero E170858 entity
Predicate hasMajorTown P316 FINISHED
Object Copala
Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
E666509 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: Copala | Statement: [Costa Chica of Guerrero, hasMajorTown, Copala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copala
Context triple: [Costa Chica of Guerrero, hasMajorTown, Copala]
  • A. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • B. Placencia
    Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
  • C. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • D. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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: Copala
Triple: [Costa Chica of Guerrero, hasMajorTown, Copala]
Generated description
Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Copala
Target entity description: Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
  • A. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • B. Placencia
    Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
  • C. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • D. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f271f1d481909a46d50b13b51a62 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83440200081909cf0c747697d644a completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c834ecb15081909acc684fcc8969aa completed March 28, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69c835d2474081908ec1e93c1ced0b1f completed March 28, 2026, 8:10 p.m.
Created at: March 27, 2026, 3:10 p.m.