Triple

T2638219
Position Surface form Disambiguated ID Type / Status
Subject Ica Region E62797 entity
Predicate hasCity P316 FINISHED
Object Chincha Alta
Chincha Alta is a coastal city in southern Peru known for its Afro-Peruvian cultural heritage and agricultural production.
 E284239 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: Chincha Alta | Statement: [Ica Region, hasCity, Chincha Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chincha Alta
Context triple: [Ica Region, hasCity, Chincha Alta]
  • A. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • B. 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.
  • C. Andacollo
    Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
  • D. San Miguel de los Bancos
    San Miguel de los Bancos is a small town and canton seat in Ecuador’s Andean region, known for its lush cloud forests and role as a gateway between Quito and the coastal lowlands.
  • 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: Chincha Alta
Triple: [Ica Region, hasCity, Chincha Alta]
Generated description
Chincha Alta is a coastal city in southern Peru known for its Afro-Peruvian cultural heritage and agricultural production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chincha Alta
Target entity description: Chincha Alta is a coastal city in southern Peru known for its Afro-Peruvian cultural heritage and agricultural production.
  • A. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • B. 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.
  • C. Andacollo
    Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
  • D. San Miguel de los Bancos
    San Miguel de los Bancos is a small town and canton seat in Ecuador’s Andean region, known for its lush cloud forests and role as a gateway between Quito and the coastal lowlands.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8e470ac8190bd0d6de6805afcd0 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af91c6de008190ad8fb3a3c06472cb completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af9253953c8190a8e18c92d66263cc completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:53 p.m.