Triple

T21558529
Position Surface form Disambiguated ID Type / Status
Subject Mojeño E531953 entity
Predicate hasDialect P4251 FINISHED
Object Javierano
Javierano is a regional dialect of the Mojeño language spoken by Indigenous communities in Bolivia’s lowland regions.
 E1490307 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: Javierano | Statement: [Mojeño, hasDialect, Javierano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Javierano
Context triple: [Mojeño, hasDialect, Javierano]
  • A. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • B. Graciano
    Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
  • C. Ciriaco
    Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
  • D. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • E. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • 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: Javierano
Triple: [Mojeño, hasDialect, Javierano]
Generated description
Javierano is a regional dialect of the Mojeño language spoken by Indigenous communities in Bolivia’s lowland regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Javierano
Target entity description: Javierano is a regional dialect of the Mojeño language spoken by Indigenous communities in Bolivia’s lowland regions.
  • A. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • B. Graciano
    Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
  • C. Ciriaco
    Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
  • D. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • E. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • 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.