Triple

T6036676
Position Surface form Disambiguated ID Type / Status
Subject San Miguel district, Lima E134438 entity
Predicate locatedOn P40 FINISHED
Object Costa Verde E108146 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: Costa Verde | Statement: [San Miguel district, Lima, locatedOn, Costa Verde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa Verde
Context triple: [San Miguel district, Lima, locatedOn, Costa Verde]
  • A. Costa Verde chosen
    Costa Verde is a scenic coastal stretch in Lima, Peru, known for its cliffs, beaches, and oceanfront views along the Pacific.
  • B. Costa Rica
    Costa Rica is a Central American country renowned for its political stability, rich biodiversity, and strong environmental conservation efforts.
  • C. Costa
    Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Dominican Republic
    The Dominican Republic is a Caribbean nation on the island of Hispaniola known for its beaches, mountainous interior, and vibrant blend of Spanish, African, and Taíno cultural influences.
  • E. Río Muni
    Río Muni is the mainland region of Equatorial Guinea, located on the west coast of Central Africa and forming the country’s largest and most populous territory.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cf60d00819084bc8405595f7989 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.