Triple

T7405490
Position Surface form Disambiguated ID Type / Status
Subject Costa Chica of Guerrero E170858 entity
Predicate hasMajorTown P316 FINISHED
Object Azoyú
Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
 E662736 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: Azoyú | Statement: [Costa Chica of Guerrero, hasMajorTown, Azoyú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azoyú
Context triple: [Costa Chica of Guerrero, hasMajorTown, Azoyú]
  • A. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • B. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • C. Parayre
    Parayre is a French surname associated with individuals such as Amélie Noellie Parayre.
  • D. Ananindeua
    Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
  • E. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • 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: Azoyú
Triple: [Costa Chica of Guerrero, hasMajorTown, Azoyú]
Generated description
Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azoyú
Target entity description: Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
  • A. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • B. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • C. Parayre
    Parayre is a French surname associated with individuals such as Amélie Noellie Parayre.
  • D. Ananindeua
    Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
  • E. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • 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_69c81ed79680819087a56082e968c266 completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81f9b565881909bebcc3112037f52 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8207912f4819086e99ed441bee805 completed March 28, 2026, 6:39 p.m.
Created at: March 27, 2026, 3:10 p.m.