Triple

T19670921
Position Surface form Disambiguated ID Type / Status
Subject IOE E472331 entity
Predicate acronym P43 FINISHED
Object IOE 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: IOE | Statement: [IOE, acronym, IOE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IOE
Context triple: [IOE, acronym, IOE]
  • A. 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.
  • B. IOE
    IOE is the University College London Institute of Education, a leading centre for research and teaching in education and social science.
  • C. IOE
    IOE is the abbreviation for the University of Michigan’s Department of Industrial and Operations Engineering, a leading program in optimizing complex systems and processes.
  • D. IOA
    IOA is the acronym for the International Olympic Academy, an educational and cultural institution dedicated to promoting the ideals and values of Olympism worldwide.
  • E. IAO
    IAO is the abbreviation for the Fraunhofer Institute for Industrial Engineering, a German research institute focused on applied industrial and organizational engineering.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416b9cf8819096f44e3f9fbf86fa completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.