Triple

T7374353
Position Surface form Disambiguated ID Type / Status
Subject UNASUR E170085 entity
Predicate predecessor P97 FINISHED
Object Mercosur (in part) E19773 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: Mercosur (in part) | Statement: [UNASUR, predecessor, Mercosur (in part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercosur (in part)
Context triple: [UNASUR, predecessor, Mercosur (in part)]
  • A. MERCOSUR chosen
    MERCOSUR is a regional trade bloc in South America that promotes economic integration and free trade among its member countries.
  • B. TAM Mercosur
    TAM Mercosur was a Paraguayan airline that operated regional flights in South America before being rebranded as LATAM Airlines Paraguay.
  • C. Andean Community
    The Andean Community is a regional economic bloc in South America that promotes trade integration and cooperation among several Andean countries.
  • 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. Latin American Free Trade Association
    The Latin American Free Trade Association was a regional organization formed to promote economic integration and reduce trade barriers among Latin American countries during the mid-20th century.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a6643c81909d626c8b6a7a11fd completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802ce8e408190946637d04083521c completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.