Triple

T6260707
Position Surface form Disambiguated ID Type / Status
Subject Puente Villena Rey E140288 entity
Predicate locatedIn P40 FINISHED
Object Lima Province E55697 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: Lima Province | Statement: [Puente Villena Rey, locatedIn, Lima Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Province
Context triple: [Puente Villena Rey, locatedIn, Lima Province]
  • A. Lima Province chosen
    Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
  • B. Lima Region
    Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
  • C. Arequipa District
    Arequipa District is the central urban district of the city of Arequipa in southern Peru, known for its historic colonial architecture and role as the region’s administrative and commercial hub.
  • D. Arequipa Region
    The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
  • E. Cajamarca Region
    Cajamarca Region is an administrative region in northern Peru known for its Andean highlands, rich colonial and pre-Columbian history, and significant mining and agricultural activities.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063856f308190a351a661caaae5f9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24381aff48190980ada94ee95593e completed March 24, 2026, 7:55 a.m.
Created at: March 22, 2026, 4:24 p.m.