Triple

T22765734
Position Surface form Disambiguated ID Type / Status
Subject Retalhuleu Department E563117 entity
Predicate hasMunicipality P847 FINISHED
Object Champerico
Champerico is a coastal town and port on the Pacific Ocean in southwestern Guatemala, known for its beaches and fishing activities.
 E1554010 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: Champerico | Statement: [Retalhuleu Department, hasMunicipality, Champerico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Champerico
Context triple: [Retalhuleu Department, hasMunicipality, Champerico]
  • A. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • B. Chicamán
    Chicamán is a rural municipality in Guatemala known for its mountainous terrain, indigenous Maya communities, and traditional agricultural economy.
  • C. Tantamayo
    Tantamayo is a small Andean town in Peru known for its nearby pre-Inca archaeological sites and highland agricultural traditions.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Cambadélis
    Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
  • 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: Champerico
Triple: [Retalhuleu Department, hasMunicipality, Champerico]
Generated description
Champerico is a coastal town and port on the Pacific Ocean in southwestern Guatemala, known for its beaches and fishing activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Champerico
Target entity description: Champerico is a coastal town and port on the Pacific Ocean in southwestern Guatemala, known for its beaches and fishing activities.
  • A. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • B. Chicamán
    Chicamán is a rural municipality in Guatemala known for its mountainous terrain, indigenous Maya communities, and traditional agricultural economy.
  • C. Tantamayo
    Tantamayo is a small Andean town in Peru known for its nearby pre-Inca archaeological sites and highland agricultural traditions.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Cambadélis
    Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80249c819091569e7b8d500b45 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b981d46788190a6ba2d605d82c036 completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b99d055888190844bb88f0ba1e253 completed May 18, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9a46b4fc81909bae1dfdd7d825ab completed May 18, 2026, 11:01 p.m.
Created at: April 17, 2026, 3:26 p.m.