Triple

T19718485
Position Surface form Disambiguated ID Type / Status
Subject MERCOSUR Secretariat E473542 entity
Predicate partOf P40 FINISHED
Object MERCOSUR 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: MERCOSUR | Statement: [MERCOSUR Secretariat, partOf, MERCOSUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MERCOSUR
Context triple: [MERCOSUR Secretariat, partOf, MERCOSUR]
  • A. MERCOSUR chosen
    MERCOSUR is a regional trade bloc in South America that promotes economic integration and free trade among its member countries.
  • B. Andean Community
    The Andean Community is a regional economic bloc in South America that promotes trade integration and cooperation among several Andean countries.
  • C. TAM Mercosur
    TAM Mercosur was a Paraguayan airline that operated regional flights in South America before being rebranded as LATAM Airlines Paraguay.
  • D. UNASUR
    UNASUR (Union of South American Nations) is a regional intergovernmental organization that promotes political, economic, and social integration among South American countries.
  • E. Central American Common Market
    The Central American Common Market is a regional economic integration organization that promotes free trade and economic cooperation among several Central American countries.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440f9dd88190bd15cf00f739dfb4 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.