Triple

T17426002
Position Surface form Disambiguated ID Type / Status
Subject Department of Lima E423738 entity
Predicate timezone P109 FINISHED
Object Peru Time NE NERFINISHED

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: Peru Time | Statement: [Department of Lima, timezone, Peru Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peru Time
Context triple: [Department of Lima, timezone, Peru Time]
  • A. Peru Time chosen
    Peru Time is the standard time zone used throughout Peru, corresponding to UTC−05:00 without daylight saving time.
  • B. Ecuador Time
    Ecuador Time is the standard time zone used in mainland Ecuador, including cities such as Guayaquil, typically corresponding to UTC−05:00.
  • C. Bolivia Time
    Bolivia Time is the standard time zone used throughout Bolivia, corresponding to UTC−4 with no daylight saving time.
  • D. Chile Standard Time
    Chile Standard Time is the primary time zone used in central Chile, including regions such as Coquimbo, typically set at UTC−4 hours.
  • E. Chile Summer Time
    Chile Summer Time is the daylight saving time period used in Chile, during which clocks are advanced one hour to provide extended evening daylight compared to standard time.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fbfda88190be1c001d64289bf7 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.