Triple

T10931355
Position Surface form Disambiguated ID Type / Status
Subject Las Cañitas E258213 entity
Predicate timeZone P109 FINISHED
Object Argentina Time E211527 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: Argentina Time | Statement: [Las Cañitas, timeZone, Argentina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentina Time
Context triple: [Las Cañitas, timeZone, Argentina Time]
  • A. Argentina Time chosen
    Argentina Time is the standard time zone used throughout Argentina, corresponding to UTC−3 without daylight saving time.
  • B. Argentina
    Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
  • C. Paraguay Summer Time
    Paraguay Summer Time is the daylight saving time zone used in Paraguay, set one hour ahead of its standard time to align with neighboring regional schedules.
  • D. Arguayoda
    Arguayoda is a small rural settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • E. Salto, Argentina
    Salto, Argentina is a city in the Buenos Aires Province known for its agricultural economy and location along the Salto River.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:23 p.m.