Triple

T19996588
Position Surface form Disambiguated ID Type / Status
Subject Chubut Department E494209 entity
Predicate timeZone P109 FINISHED
Object Argentina 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: Argentina Time | Statement: [Chubut Department, timeZone, Argentina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentina Time
Context triple: [Chubut Department, 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. Argentine
    Argentine is a Paris Métro station in the 16th arrondissement, serving Line 1 near the Avenue de la Grande Armée and the Arc de Triomphe.
  • C. 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.
  • D. Argentina
    Argentina is a genus of flowering plants in the rose family (Rosaceae), commonly known for species resembling cinquefoils and often found in temperate and alpine regions.
  • E. 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.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe549108190947a4d1a587c08f8 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.