Triple

T8938936
Position Surface form Disambiguated ID Type / Status
Subject Wayana language E212847 entity
Predicate hasAlternativeName P39 FINISHED
Object Uajana
Uajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
E767337 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: Uajana | Statement: [Wayana language, hasAlternativeName, Uajana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uajana
Context triple: [Wayana language, hasAlternativeName, Uajana]
  • A. Ouaddaï
    Ouaddaï is an eastern region of Chad known historically as the center of the former Wadai Sultanate and for its strategic location near the Sudanese border.
  • B. Eruwa
    Eruwa is a town in southwestern Nigeria known as an agrarian community and local commercial center within Oyo State.
  • C. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • D. Malaweg
    Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
  • E. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • 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: Uajana
Triple: [Wayana language, hasAlternativeName, Uajana]
Generated description
Uajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uajana
Target entity description: Uajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • A. Ouaddaï
    Ouaddaï is an eastern region of Chad known historically as the center of the former Wadai Sultanate and for its strategic location near the Sudanese border.
  • B. Eruwa
    Eruwa is a town in southwestern Nigeria known as an agrarian community and local commercial center within Oyo State.
  • C. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • D. Malaweg
    Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
  • E. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b7484481909e0d7610552f5386 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1eb308c81909f5be133c75ad568 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc24b4fe481909b7c4f58b787a21e completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc33fbedc8190a8f04ec6f43891f0 completed April 3, 2026, 1:40 p.m.
Created at: March 30, 2026, 6:58 p.m.