Triple

T5536838
Position Surface form Disambiguated ID Type / Status
Subject Moxeño E145182 entity
Predicate alternateName P39 FINISHED
Object Moxeno
Moxeno is an alternate spelling of Moxeño, an Arawakan language spoken by the Moxeño people of Bolivia.
 E531954 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: Moxeno | Statement: [Moxeño, alternateName, Moxeno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moxeno
Context triple: [Moxeño, alternateName, Moxeno]
  • A. Moncho
    Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
  • B. Renaico
    Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
  • C. Troubadour
    Troubadour is a legendary West Hollywood nightclub renowned for launching and showcasing influential singer-songwriters and bands, especially during the Laurel Canyon music scene era.
  • D. Vagos
    Vagos is a coastal municipality in central Portugal known for its beaches, dunes, and integration into the Aveiro region’s lagoon landscape.
  • E. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • 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: Moxeno
Triple: [Moxeño, alternateName, Moxeno]
Generated description
Moxeno is an alternate spelling of Moxeño, an Arawakan language spoken by the Moxeño people of Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moxeno
Target entity description: Moxeno is an alternate spelling of Moxeño, an Arawakan language spoken by the Moxeño people of Bolivia.
  • A. Moncho
    Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
  • B. Renaico
    Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
  • C. Troubadour
    Troubadour is a legendary West Hollywood nightclub renowned for launching and showcasing influential singer-songwriters and bands, especially during the Laurel Canyon music scene era.
  • D. Vagos
    Vagos is a coastal municipality in central Portugal known for its beaches, dunes, and integration into the Aveiro region’s lagoon landscape.
  • E. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02814359c8190b868811f22aa568c completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c04441145481909fb7bd26dab129bd completed March 22, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69c044a919ec81909469793af9f837ea completed March 22, 2026, 7:36 p.m.
Created at: March 22, 2026, 3:34 p.m.