Triple

T440644
Position Surface form Disambiguated ID Type / Status
Subject Sacred Valley E10105 entity
Predicate nearCity P350 FINISHED
Object Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
 E58289 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: Chinchero | Statement: [Sacred Valley, nearCity, Chinchero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chinchero
Context triple: [Sacred Valley, nearCity, Chinchero]
  • A. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • B. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • C. Vicuña
    Vicuña is a small Chilean town in the Elqui Valley, known for its clear skies, observatories, and production of pisco.
  • D. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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: Chinchero
Triple: [Sacred Valley, nearCity, Chinchero]
Generated description
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chinchero
Target entity description: Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
  • A. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • B. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • C. Vicuña
    Vicuña is a small Chilean town in the Elqui Valley, known for its clear skies, observatories, and production of pisco.
  • D. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4529020888190952a8e8665f501c6 completed March 1, 2026, 2:52 p.m.
NEDg Description generation batch_69a455253cc0819084d9cf850917aa1d completed March 1, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69a4557af088819099e7f35f507f8a6c completed March 1, 2026, 3:04 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.