Triple

T21794145
Position Surface form Disambiguated ID Type / Status
Subject Tacana E538049 entity
Predicate neighboringLanguage P16383 FINISHED
Object Cavineña
Cavineña is an indigenous Tacanan language spoken by the Cavineña people of the Bolivian Amazon.
E1502786 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: Cavineña | Statement: [Tacana, neighboringLanguage, Cavineña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavineña
Context triple: [Tacana, neighboringLanguage, Cavineña]
  • A. Cajeme
    Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
  • B. Manizaleña
    Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
  • C. Gurabeña
    Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
  • D. Amuzgo
    The Amuzgo are an indigenous Mesoamerican people primarily inhabiting the mountainous regions of Guerrero and Oaxaca in southern Mexico, known for their distinct language and rich textile-weaving traditions.
  • E. Belnahua
    Belnahua is a small uninhabited Scottish island in the Inner Hebrides, historically known for its slate quarrying.
  • 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: Cavineña
Triple: [Tacana, neighboringLanguage, Cavineña]
Generated description
Cavineña is an indigenous Tacanan language spoken by the Cavineña people of the Bolivian Amazon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cavineña
Target entity description: Cavineña is an indigenous Tacanan language spoken by the Cavineña people of the Bolivian Amazon.
  • A. Cajeme
    Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
  • B. Manizaleña
    Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
  • C. Gurabeña
    Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
  • D. Amuzgo
    The Amuzgo are an indigenous Mesoamerican people primarily inhabiting the mountainous regions of Guerrero and Oaxaca in southern Mexico, known for their distinct language and rich textile-weaving traditions.
  • E. Belnahua
    Belnahua is a small uninhabited Scottish island in the Inner Hebrides, historically known for its slate quarrying.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0622329b08190b8cd9be714aca456 completed April 28, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e773bd0819097e0ce7c57b05f72 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f31d4788190a5b7d3678c2dd432 completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.