Triple

T17582388
Position Surface form Disambiguated ID Type / Status
Subject Lurigancho-Chosica District E428235 entity
Predicate contains P35 FINISHED
Object Jicamarca
Jicamarca is a locality in the eastern outskirts of Lima, Peru, known for its semi-arid landscape and proximity to the Jicamarca Radio Observatory.
 E1276408 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: Jicamarca | Statement: [Lurigancho-Chosica District, contains, Jicamarca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jicamarca
Context triple: [Lurigancho-Chosica District, contains, Jicamarca]
  • A. Alcohuaz
    Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
  • B. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • C. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • D. Alausí
    Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
  • 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: Jicamarca
Triple: [Lurigancho-Chosica District, contains, Jicamarca]
Generated description
Jicamarca is a locality in the eastern outskirts of Lima, Peru, known for its semi-arid landscape and proximity to the Jicamarca Radio Observatory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jicamarca
Target entity description: Jicamarca is a locality in the eastern outskirts of Lima, Peru, known for its semi-arid landscape and proximity to the Jicamarca Radio Observatory.
  • A. Alcohuaz
    Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
  • B. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • C. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • D. Alausí
    Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddef82d48190a5940f7da646c380 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01de93c1448190aa2328919d407252 completed May 11, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_6a01e05515d88190b343ebc1aad4a351 completed May 11, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:50 a.m.