Triple

T8423479
Position Surface form Disambiguated ID Type / Status
Subject San Nicolás neighborhood E198918 entity
Predicate locatedInTimeZone 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: [San Nicolás neighborhood, locatedInTimeZone, Argentina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentina Time
Context triple: [San Nicolás neighborhood, locatedInTimeZone, 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. Bolivia Time
    Bolivia Time is the standard time zone used throughout Bolivia, corresponding to UTC−4 with no daylight saving time.
  • E. southern Argentina
    Southern Argentina is a sparsely populated region of Argentina characterized by its Patagonian landscapes, cold climate, and diverse wildlife.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035aac4c81909066c1ca1318d006 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:06 p.m.