Triple

T15277980
Position Surface form Disambiguated ID Type / Status
Subject Tucanoan languages E365192 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Yuruti
Yuruti is an indigenous Tucanoan language spoken by a small community in the northwestern Amazon region of South America.
 E1218591 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: Yuruti | Statement: [Tucanoan languages, hasMemberLanguage, Yuruti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuruti
Context triple: [Tucanoan languages, hasMemberLanguage, Yuruti]
  • A. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • B. Yūgiri
    Yūgiri is a prominent character in The Tale of Genji, known as the dutiful and steady son of Hikaru Genji who contrasts with his father's romantic excesses.
  • C. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • D. Kamayurá
    Kamayurá is an indigenous people of Brazil’s Upper Xingu region, known for their distinct Tupi–Guaraní language and rich ceremonial and ritual traditions.
  • E. Yōrō
    Yōrō was a Japanese era of the Nara period, noted for administrative reforms and cultural development under imperial rule.
  • 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: Yuruti
Triple: [Tucanoan languages, hasMemberLanguage, Yuruti]
Generated description
Yuruti is an indigenous Tucanoan language spoken by a small community in the northwestern Amazon region of South America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuruti
Target entity description: Yuruti is an indigenous Tucanoan language spoken by a small community in the northwestern Amazon region of South America.
  • A. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • B. Yūgiri
    Yūgiri is a prominent character in The Tale of Genji, known as the dutiful and steady son of Hikaru Genji who contrasts with his father's romantic excesses.
  • C. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • D. Kamayurá
    Kamayurá is an indigenous people of Brazil’s Upper Xingu region, known for their distinct Tupi–Guaraní language and rich ceremonial and ritual traditions.
  • E. Yōrō
    Yōrō was a Japanese era of the Nara period, noted for administrative reforms and cultural development under imperial rule.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
NEDg Description generation batch_6a00620e66788190acccf2c8fce00943 completed May 10, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0062665d908190b8127b21edcad30e completed May 10, 2026, 10:48 a.m.
Created at: April 10, 2026, 3:14 a.m.