Triple

T21218415
Position Surface form Disambiguated ID Type / Status
Subject Asháninka E522897 entity
Predicate alternativeName P39 FINISHED
Object Campa
Campa is an alternative name for the Asháninka, an Indigenous people of the Amazon rainforest primarily inhabiting regions of Peru and Brazil.
 E1471300 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: Campa | Statement: [Asháninka, alternativeName, Campa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campa
Context triple: [Asháninka, alternativeName, Campa]
  • A. La Campa
    La Campa is a small rural municipality in western Honduras known for its traditional Lenca culture and colonial-era church.
  • B. Chinandega
    Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • C. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • D. Campana
    Campana is an industrial and port city in Buenos Aires Province, Argentina, located on the Paraná River northwest of Buenos Aires.
  • E. Caxarias
    Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
  • 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: Campa
Triple: [Asháninka, alternativeName, Campa]
Generated description
Campa is an alternative name for the Asháninka, an Indigenous people of the Amazon rainforest primarily inhabiting regions of Peru and Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campa
Target entity description: Campa is an alternative name for the Asháninka, an Indigenous people of the Amazon rainforest primarily inhabiting regions of Peru and Brazil.
  • A. La Campa
    La Campa is a small rural municipality in western Honduras known for its traditional Lenca culture and colonial-era church.
  • B. Chinandega
    Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • C. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • D. Campana
    Campana is an industrial and port city in Buenos Aires Province, Argentina, located on the Paraná River northwest of Buenos Aires.
  • E. Caxarias
    Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097edb6de4819094cf7a50670afdfa completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f5016348190aeb01856a5c57b41 completed May 17, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a097fe399048190a1b29f16d8e46d8d completed May 17, 2026, 8:44 a.m.
Created at: April 16, 2026, 3:42 p.m.