Triple

T16084718
Position Surface form Disambiguated ID Type / Status
Subject Tingo María E390198 entity
Predicate locatedIn P40 FINISHED
Object central Peru E450089 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: central Peru | Statement: [Tingo María, locatedIn, central Peru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Peru
Context triple: [Tingo María, locatedIn, central Peru]
  • A. central Peru chosen
    Central Peru is a region of the country encompassing parts of the Andean highlands and adjacent coastal and jungle areas, known for its diverse geography, agriculture, and mining activities.
  • B. western Peru
    Western Peru is the coastal and Andean region of Peru that includes major urban centers such as Lima and is characterized by arid Pacific shores and the western slopes of the Andes.
  • C. southeastern Peru
    Southeastern Peru is a region of the country that includes the historic Andean area around Cusco and extends toward the Amazon Basin.
  • D. northern Peru
    Northern Peru is a geographic region of Peru known for its Andean highlands, rich pre-Columbian archaeological sites, and diverse coastal and jungle landscapes.
  • E. eastern Peru
    Eastern Peru is a remote, sparsely populated region dominated by Amazon rainforest, extensive river systems, and rich biodiversity.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844d7d688190b5badac7a8014f89 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48ef3608190848d4730a4361395 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:59 a.m.