Triple

T9182233
Position Surface form Disambiguated ID Type / Status
Subject Santa Fe de la Vera Cruz E220359 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: [Santa Fe de la Vera Cruz, timeZone, Argentina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentina Time
Context triple: [Santa Fe de la Vera Cruz, 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc2553e548190898434aeda517407 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0eeb0c8190a5a22c662726805c completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.