Triple

T12283815
Position Surface form Disambiguated ID Type / Status
Subject Maria Reiche Museum in Nazca E292778 entity
Predicate locatedInRegion P40 FINISHED
Object Ica Region E62797 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: Ica Region | Statement: [Maria Reiche Museum in Nazca, locatedInRegion, Ica Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ica Region
Context triple: [Maria Reiche Museum in Nazca, locatedInRegion, Ica Region]
  • A. Ica Region chosen
    The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
  • 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. Piura Region
    Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
  • D. Nazca Province
    Nazca Province is an administrative division in the Ica Region of southern Peru, known for encompassing the area where the ancient Nazca culture flourished and the famous Nazca Lines are located.
  • E. Lima Province
    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.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ede3081908647595739c3e996 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ce31808190b66bd0ba1d9d2862 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:52 p.m.