Triple

T13389393
Position Surface form Disambiguated ID Type / Status
Subject southern Guatemala E319535 entity
Predicate contains P35 FINISHED
Object Mazatenango
Mazatenango is a major commercial and transportation hub in southwestern Guatemala, known for its vibrant markets and regional agricultural trade.
E1038525 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: Mazatenango | Statement: [southern Guatemala, contains, Mazatenango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazatenango
Context triple: [southern Guatemala, contains, Mazatenango]
  • A. Madugandí
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • B. Moraz
    Moraz is the surname of Patrick Moraz, a Swiss keyboardist best known for his work with the progressive rock bands Yes and The Moody Blues.
  • C. Guzamala
    Guzamala is a local government area in Borno State, northeastern Nigeria, known for its rural communities and location within the Lake Chad region.
  • D. Maynas
    Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
  • E. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • 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: Mazatenango
Triple: [southern Guatemala, contains, Mazatenango]
Generated description
Mazatenango is a major commercial and transportation hub in southwestern Guatemala, known for its vibrant markets and regional agricultural trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mazatenango
Target entity description: Mazatenango is a major commercial and transportation hub in southwestern Guatemala, known for its vibrant markets and regional agricultural trade.
  • A. Madugandí
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • B. Moraz
    Moraz is the surname of Patrick Moraz, a Swiss keyboardist best known for his work with the progressive rock bands Yes and The Moody Blues.
  • C. Guzamala
    Guzamala is a local government area in Borno State, northeastern Nigeria, known for its rural communities and location within the Lake Chad region.
  • D. Maynas
    Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
  • E. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d543348190a9c1be509b015c0f completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306df34c81909f2ad5b753b7fb7f completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7320c075081909b377de7e6e2abd0 completed May 3, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69f73285fd288190a023f20925fb5d5e completed May 3, 2026, 11:33 a.m.
Created at: April 9, 2026, 9:34 p.m.