Triple

T11869281
Position Surface form Disambiguated ID Type / Status
Subject San Martín Region E282364 entity
Predicate locatedIn P40 FINISHED
Object northern Peru E116541 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: northern Peru | Statement: [San Martín Region, locatedIn, northern Peru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Peru
Context triple: [San Martín Region, locatedIn, northern Peru]
  • A. northern Peru chosen
    Northern Peru is a geographic region of Peru known for its Andean highlands, rich pre-Columbian archaeological sites, and diverse coastal and jungle landscapes.
  • B. southeastern Peru
    Southeastern Peru is a region of the country that includes the historic Andean area around Cusco and extends toward the Amazon Basin.
  • C. eastern Peru
    Eastern Peru is a remote, sparsely populated region dominated by Amazon rainforest, extensive river systems, and rich biodiversity.
  • D. Southern Peru
    Southern Peru is a geographic region of Peru known for its Andean highlands, volcanic landscapes, and major cities such as Arequipa and Cusco.
  • E. Central Coast of Peru
    The Central Coast of Peru is a densely populated coastal region centered around Lima, known for its arid climate, rich pre-Columbian and colonial history, and status as the country’s main political and economic 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281a2abfc8190a4769e637dedaaab completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.