Triple

T17826479
Position Surface form Disambiguated ID Type / Status
Subject Huacaybamba Province E445129 entity
Predicate capital P234 FINISHED
Object Huacaybamba
Huacaybamba is a town in the Huánuco Region of central Peru that serves as the administrative and commercial center of the surrounding rural province.
E1298892 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: Huacaybamba | Statement: [Huacaybamba Province, capital, Huacaybamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huacaybamba
Context triple: [Huacaybamba Province, capital, Huacaybamba]
  • A. Vilcashuamán
    Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
  • B. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • C. 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.
  • D. Huancabamba
    Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
  • E. Mecapaca
    Mecapaca is a small town in Bolivia’s La Paz Department known for its rural Andean setting and agricultural 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: Huacaybamba
Triple: [Huacaybamba Province, capital, Huacaybamba]
Generated description
Huacaybamba is a town in the Huánuco Region of central Peru that serves as the administrative and commercial center of the surrounding rural province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huacaybamba
Target entity description: Huacaybamba is a town in the Huánuco Region of central Peru that serves as the administrative and commercial center of the surrounding rural province.
  • A. Vilcashuamán
    Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
  • B. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • C. 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.
  • D. Huancabamba
    Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
  • E. Mecapaca
    Mecapaca is a small town in Bolivia’s La Paz Department known for its rural Andean setting and agricultural 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032ffc69cc8190840b439ec5ddf90d completed May 12, 2026, 1:49 p.m.
NEDg Description generation batch_6a033156386c8190ae4b38af83fe2751 completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0331d633bc8190b8dbdd2f44acf28c completed May 12, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:15 a.m.