Triple

T723306
Position Surface form Disambiguated ID Type / Status
Subject Lima Region E14664 entity
Predicate containsCity P294 FINISHED
Object Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
 E95335 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: Huaral | Statement: [Lima Region, containsCity, Huaral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huaral
Context triple: [Lima Region, containsCity, Huaral]
  • 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. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • C. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • D. Chocontá
    Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
  • E. Imbabura Kichwa
    Imbabura Kichwa is a regional variety of the Kichwa (Quechuan) language spoken primarily by Indigenous communities in Ecuador’s Imbabura province.
  • 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: Huaral
Triple: [Lima Region, containsCity, Huaral]
Generated description
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huaral
Target entity description: Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • 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. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • C. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • D. Chocontá
    Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
  • E. Imbabura Kichwa
    Imbabura Kichwa is a regional variety of the Kichwa (Quechuan) language spoken primarily by Indigenous communities in Ecuador’s Imbabura province.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6891b6d908190823a9a09cef5c7da completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68b72910081908792bc4760b0610a completed March 3, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69a6d634d6f08190a59ebda3bfe0d3db completed March 3, 2026, 12:38 p.m.
Created at: March 1, 2026, 7:37 p.m.