Triple

T21558521
Position Surface form Disambiguated ID Type / Status
Subject Mojeño E531953 entity
Predicate altName P39 FINISHED
Object Moxeños
Moxeños are an Indigenous people of Bolivia’s Beni region, known for their distinct Arawakan language varieties and rich Amazonian lowland cultural traditions.
 E1490305 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: Moxeños | Statement: [Mojeño, altName, Moxeños]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moxeños
Context triple: [Mojeño, altName, Moxeños]
  • A. Camariñas
    Camariñas is a coastal town in Galicia, northwestern Spain, known for its traditional handmade bobbin lace and its location on the rugged Costa da Morte.
  • B. Camuñas
    Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
  • C. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • D. Cabanellas
    Cabanellas is a Spanish surname most notably associated with Miguel Cabanellas, a military figure involved in the early stages of the Spanish Civil War.
  • E. Sañogasta
    Sañogasta is a small rural town in northwestern Argentina’s La Rioja Province, known for its agricultural activities and scenic Andean surroundings.
  • 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: Moxeños
Triple: [Mojeño, altName, Moxeños]
Generated description
Moxeños are an Indigenous people of Bolivia’s Beni region, known for their distinct Arawakan language varieties and rich Amazonian lowland cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moxeños
Target entity description: Moxeños are an Indigenous people of Bolivia’s Beni region, known for their distinct Arawakan language varieties and rich Amazonian lowland cultural traditions.
  • A. Camariñas
    Camariñas is a coastal town in Galicia, northwestern Spain, known for its traditional handmade bobbin lace and its location on the rugged Costa da Morte.
  • B. Camuñas
    Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
  • C. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • D. Cabanellas
    Cabanellas is a Spanish surname most notably associated with Miguel Cabanellas, a military figure involved in the early stages of the Spanish Civil War.
  • E. Sañogasta
    Sañogasta is a small rural town in northwestern Argentina’s La Rioja Province, known for its agricultural activities and scenic Andean surroundings.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e14af88190bc70b4d0f3453aac completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee9792c8190b3365aeaafd03275 completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09f02630f881908b2652f71400a849 completed May 17, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_6a09f0913ce4819097a996528a5f67ab completed May 17, 2026, 4:45 p.m.
Created at: April 16, 2026, 6:29 p.m.