Triple

T8105254
Position Surface form Disambiguated ID Type / Status
Subject President of Argentina E189210 entity
Predicate jurisdiction P82 FINISHED
Object Argentine Republic E5383 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: Argentine Republic | Statement: [President of Argentina, jurisdiction, Argentine Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentine Republic
Context triple: [President of Argentina, jurisdiction, Argentine Republic]
  • A. Argentina chosen
    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.
  • B. United Provinces of the Río de la Plata
    The United Provinces of the Río de la Plata was the early 19th-century precursor state to modern Argentina, formed after independence from Spanish colonial rule in South America.
  • C. Argentaria
    Argentaria was a Spanish state-owned banking group that later merged into what is now Banco Bilbao Vizcaya Argentaria (BBVA).
  • D. Argentina and Paraguay
    Argentina and Paraguay are neighboring South American countries that share extensive cultural, historical, and economic ties along their common border.
  • E. Argentan
    Argentan is a historic town in the Orne department of Normandy, northwestern France, known for its lace-making tradition and World War II history.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42c0ce6481909887be82c8019383 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe8e3fc88190aaf3bbfa54f4c8ec completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:31 p.m.