Triple

T4126567
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Lima E92739 entity
Predicate jurisdiction P82 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: [Municipality of Lima, jurisdiction, Lima Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Province
Context triple: [Municipality of Lima, jurisdiction, 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 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.
  • D. 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.
  • E. Piura Region
    Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0219f0e48190b0a925f09d858d65 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacc411808190a80e0d6355c1cc60 completed March 20, 2026, 8:23 p.m.
Created at: March 9, 2026, 3:41 p.m.