Triple

T2541930
Position Surface form Disambiguated ID Type / Status
Subject Calca E57803 entity
Predicate locatedNear P294 FINISHED
Object Urubamba
Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
 E281312 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: Urubamba | Statement: [Calca, locatedNear, Urubamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urubamba
Context triple: [Calca, locatedNear, Urubamba]
  • A. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • B. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Yungas
    Yungas is a humid, forested ecoregion along the eastern slopes of the Andes, known for its rich biodiversity and steep, cloud-covered valleys.
  • E. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • 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: Urubamba
Triple: [Calca, locatedNear, Urubamba]
Generated description
Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urubamba
Target entity description: Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
  • A. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • B. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Yungas
    Yungas is a humid, forested ecoregion along the eastern slopes of the Andes, known for its rich biodiversity and steep, cloud-covered valleys.
  • E. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af839849288190a6ddf488f3f69203 completed March 10, 2026, 2:36 a.m.
NEDg Description generation batch_69af84c112b88190aa13deff23994f2b completed March 10, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69af8566eb9c8190b606122d5e67d7c8 completed March 10, 2026, 2:43 a.m.
Created at: March 6, 2026, 9:47 p.m.