Triple

T8885884
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Madero E211528 entity
Predicate citizenOf P2 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: [Eduardo Madero, citizenOf, Argentine Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentine Republic
Context triple: [Eduardo Madero, citizenOf, 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618bd30881909e54d0708f144786 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba1b1bec8190ab667a0c5dba3513 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:53 p.m.