Triple

T6305542
Position Surface form Disambiguated ID Type / Status
Subject Oruro Department E141365 entity
Predicate ethnicGroups P1898 FINISHED
Object Uru
The Uru are an indigenous people of the Andean region, traditionally known for their unique lake-based lifestyle and reed-built settlements, particularly around Lake Titicaca.
 E584904 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: Uru | Statement: [Oruro Department, ethnicGroups, Uru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uru
Context triple: [Oruro Department, ethnicGroups, Uru]
  • A. Uruyén
    Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
  • B. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • C. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • D. Curarén
    Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Caranavi
    Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
  • 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: Uru
Triple: [Oruro Department, ethnicGroups, Uru]
Generated description
The Uru are an indigenous people of the Andean region, traditionally known for their unique lake-based lifestyle and reed-built settlements, particularly around Lake Titicaca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uru
Target entity description: The Uru are an indigenous people of the Andean region, traditionally known for their unique lake-based lifestyle and reed-built settlements, particularly around Lake Titicaca.
  • A. Uruyén
    Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
  • B. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • C. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • D. Curarén
    Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Caranavi
    Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06479acec819090306a155a03b774 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44527488190b3d605e917c8dfb2 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5f3f6d134819090d44dea3ae88ee2 completed March 27, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69c5f4a30e2c81908cd5a99d6fc6063b completed March 27, 2026, 3:08 a.m.
Created at: March 22, 2026, 4:28 p.m.