Triple

T12070230
Position Surface form Disambiguated ID Type / Status
Subject R. W. Wood Prize E287403 entity
Predicate presentedBy P83 FINISHED
Object OSA E904231 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: OSA | Statement: [R. W. Wood Prize, presentedBy, OSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSA
Context triple: [R. W. Wood Prize, presentedBy, OSA]
  • A. OSA
    OSA is the abbreviation for the Office of the Secretary of the Army, the senior civilian leadership office overseeing administration and policy for the United States Army.
  • B. OSA chosen
    OSA is the post-nominal abbreviation used by members of the Roman Catholic religious order known as the Order of Saint Augustine.
  • C. OSD
    OSD is the IATA airport code for Åre Östersund Airport, a regional airport serving the Östersund area in central Sweden.
  • D. OSA-Express
    OSA-Express is IBM’s high-speed, integrated networking adapter family for mainframe systems, providing optimized connectivity for enterprise data centers.
  • E. OPSI
    OPSI is a former UK government body responsible for overseeing the re-use and licensing of public sector information and maintaining official publications.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90457fd488190b311ed69d2aebdf9 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ccc788190942e16c56f2a495f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.