Triple

T6561649
Position Surface form Disambiguated ID Type / Status
Subject Uspantek E153796 entity
Predicate region P40 FINISHED
Object Uspantán
Uspantán is a municipality in Guatemala known for its indigenous Uspantek Maya population, rich highland culture, and agricultural economy.
 E602957 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: Uspantán | Statement: [Uspantek, region, Uspantán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uspantán
Context triple: [Uspantek, region, Uspantán]
  • A. Toltén
    Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
  • B. Ixchiguán
    Ixchiguán is a highland municipality in western Guatemala known for its cold climate, mountainous terrain, and traditional indigenous communities.
  • C. Cachantun
    Cachantun is a Chilean bottled mineral water brand known for its natural spring sources and is part of Nestlé Waters’ beverage portfolio.
  • D. Totonicapán
    Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
  • E. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • 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: Uspantán
Triple: [Uspantek, region, Uspantán]
Generated description
Uspantán is a municipality in Guatemala known for its indigenous Uspantek Maya population, rich highland culture, and agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uspantán
Target entity description: Uspantán is a municipality in Guatemala known for its indigenous Uspantek Maya population, rich highland culture, and agricultural economy.
  • A. Toltén
    Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
  • B. Ixchiguán
    Ixchiguán is a highland municipality in western Guatemala known for its cold climate, mountainous terrain, and traditional indigenous communities.
  • C. Cachantun
    Cachantun is a Chilean bottled mineral water brand known for its natural spring sources and is part of Nestlé Waters’ beverage portfolio.
  • D. Totonicapán
    Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
  • E. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55fa1bc81908f2929e835051532 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d676e43081909bf2a9cceff0b9b3 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d843bad081909ebb887f32ea4195 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:52 p.m.