Triple

T17425995
Position Surface form Disambiguated ID Type / Status
Subject Department of Lima E423738 entity
Predicate hasMajorCity P316 FINISHED
Object Huacho NE NERFINISHED

How this triple was built (2 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: Huacho | Statement: [Department of Lima, hasMajorCity, Huacho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huacho
Context triple: [Department of Lima, hasMajorCity, Huacho]
  • A. Huacho chosen
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • B. Colina
    Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
  • C. Santiago de Chuco
    Santiago de Chuco is a town in northern Peru best known as the birthplace of influential poet César Vallejo and for its Andean cultural and historical significance.
  • D. Vilcashuamán
    Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
  • E. Chivay
    Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fbfda88190be1c001d64289bf7 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.