Triple

T753190
Position Surface form Disambiguated ID Type / Status
Subject Union for the Mediterranean E15495 entity
Predicate shortName P43 FINISHED
Object UfM E15495 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: UfM | Statement: [Union for the Mediterranean, shortName, UfM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UfM
Context triple: [Union for the Mediterranean, shortName, UfM]
  • A. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • B. Union for the Mediterranean chosen
    The Union for the Mediterranean is an intergovernmental organization that promotes political dialogue and regional cooperation between European Union member states and countries around the Mediterranean basin.
  • C. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • D. African Union
    The African Union is a continental organization comprising African countries that promotes political and economic integration, peace, and development across Africa.
  • E. UNASUL
    UNASUL is a regional intergovernmental organization that promotes political, economic, and social integration among South American countries.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64d7d2c8190a6059adcb8fbd34f completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.