Triple

T4935808
Position Surface form Disambiguated ID Type / Status
Subject Villa Regina E110807 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: [Villa Regina, timeZone, Argentina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentina Time
Context triple: [Villa Regina, 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. Salto, Argentina
    Salto, Argentina is a city in the Buenos Aires Province known for its agricultural economy and location along the Salto River.
  • D. southern Argentina
    Southern Argentina is a sparsely populated region of Argentina characterized by its Patagonian landscapes, cold climate, and diverse wildlife.
  • E. 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.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706825188190b854dca5ca2f9db6 completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77ba40f881908452455ad55221e5 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.