Triple

T9693998
Position Surface form Disambiguated ID Type / Status
Subject Wallmapu E234601 entity
Predicate preDates P70149 FINISHED
Object Republic of Argentina 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: Republic of Argentina | Statement: [Wallmapu, preDates, Republic of Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of Argentina
Context triple: [Wallmapu, preDates, Republic of Argentina]
  • 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. República
    República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d348868819083aec7a5da8c455b completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40329448190bccac60a20dcb9d1 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:17 p.m.