Triple

T16037072
Position Surface form Disambiguated ID Type / Status
Subject Bandurria E388995 entity
Predicate locatedNear P294 FINISHED
Object Huacho E88773 NE FINISHED

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: [Bandurria, locatedNear, Huacho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huacho
Context triple: [Bandurria, locatedNear, 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 (3 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833da68881908710fb2c28e8c6d0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd3a1248190ad055892cebde5f0 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.