Triple

T14288045
Position Surface form Disambiguated ID Type / Status
Subject Piura Region E354229 entity
Predicate hasCity P316 FINISHED
Object Chulucanas
Chulucanas is a Peruvian city known for its traditional handcrafted ceramics and pottery, particularly in the northern coastal region.
E1091898 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: Chulucanas | Statement: [Piura Region, hasCity, Chulucanas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chulucanas
Context triple: [Piura Region, hasCity, Chulucanas]
  • A. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • B. Carahuino
    A Carahuino is a resident or native of Carahue, a town in southern Chile’s Araucanía Region.
  • C. Challapampa
    Challapampa is a small lakeside village on Bolivia’s Isla del Sol, known as a gateway to Inca ruins and scenic views over Lake Titicaca.
  • D. Andahuaylas
    Andahuaylas is a city in the southern Peruvian Andes known as a commercial and cultural center for the surrounding rural highland communities.
  • E. Huayna Potosí
    Huayna Potosí is a prominent, glaciated mountain in the Bolivian Andes, popular with climbers for its relatively accessible high-altitude ascent.
  • 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: Chulucanas
Triple: [Piura Region, hasCity, Chulucanas]
Generated description
Chulucanas is a Peruvian city known for its traditional handcrafted ceramics and pottery, particularly in the northern coastal region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chulucanas
Target entity description: Chulucanas is a Peruvian city known for its traditional handcrafted ceramics and pottery, particularly in the northern coastal region.
  • A. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • B. Carahuino
    A Carahuino is a resident or native of Carahue, a town in southern Chile’s Araucanía Region.
  • C. Challapampa
    Challapampa is a small lakeside village on Bolivia’s Isla del Sol, known as a gateway to Inca ruins and scenic views over Lake Titicaca.
  • D. Andahuaylas
    Andahuaylas is a city in the southern Peruvian Andes known as a commercial and cultural center for the surrounding rural highland communities.
  • E. Huayna Potosí
    Huayna Potosí is a prominent, glaciated mountain in the Bolivian Andes, popular with climbers for its relatively accessible high-altitude ascent.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3e6dde6081908a37817e4dd22ecd completed May 8, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd3f42ccdc81908399d8f9a2f0da31 completed May 8, 2026, 1:41 a.m.
Created at: April 10, 2026, 1:11 a.m.