Triple

T14109358
Position Surface form Disambiguated ID Type / Status
Subject Department of Organization E339592 entity
Predicate abbreviation P43 FINISHED
Object IOA E1080990 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: IOA | Statement: [Department of Organization, abbreviation, IOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IOA
Context triple: [Department of Organization, abbreviation, IOA]
  • A. IOA chosen
    IOA is the acronym for the International Olympic Academy, an educational and cultural institution dedicated to promoting the ideals and values of Olympism worldwide.
  • B. OIA
    OIA is a common acronym for an Office of International Affairs, typically a governmental or institutional body that manages international relations, partnerships, and global programs.
  • C. IAO
    IAO is the abbreviation for the Fraunhofer Institute for Industrial Engineering, a German research institute focused on applied industrial and organizational engineering.
  • D. IOE
    IOE is the University College London Institute of Education, a leading centre for research and teaching in education and social science.
  • E. IOE
    IOE is the Independent Office of Evaluation of the International Fund for Agricultural Development, responsible for assessing the effectiveness and impact of IFAD’s strategies and operations.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf04871c8190891605415f1abf7f completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.