Triple

T8105243
Position Surface form Disambiguated ID Type / Status
Subject President of Argentina E189210 entity
Predicate seat P75 FINISHED
Object Casa Rosada E38829 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: Casa Rosada | Statement: [President of Argentina, seat, Casa Rosada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casa Rosada
Context triple: [President of Argentina, seat, Casa Rosada]
  • A. Casa Rosada chosen
    Casa Rosada is the iconic pink presidential palace and seat of the executive branch of government in Argentina, located in central Buenos Aires.
  • B. Palacio Nacional
    Palacio Nacional is the historic seat of Mexico’s federal executive power, located on Mexico City’s main square and known for its colonial architecture and Diego Rivera murals.
  • C. Palacio Nacional
    Palacio Nacional is a historic government building in San Salvador, El Salvador, known for its neoclassical architecture and role as a former seat of national political power.
  • D. Buenos Aires City Hall
    Buenos Aires City Hall is the historic municipal government building and administrative center of the Autonomous City of Buenos Aires, Argentina.
  • E. Palacio de Carondelet
    Palacio de Carondelet is the historic presidential palace and seat of government of Ecuador, located in the heart of Quito’s colonial center.
  • 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_69cc941075588190a9b12e2f873ba2a5 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:31 p.m.