Triple

T7935127
Position Surface form Disambiguated ID Type / Status
Subject Office of the Secretary to the Governor General E184268 entity
Predicate abbreviation P43 FINISHED
Object OSGG E184268 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: OSGG | Statement: [Office of the Secretary to the Governor General, abbreviation, OSGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSGG
Context triple: [Office of the Secretary to the Governor General, abbreviation, OSGG]
  • A. OSGG chosen
    OSGG is the acronym for the Office of the Secretary to the Governor General, the federal body that supports Canada’s governor general in carrying out constitutional, ceremonial, and community roles.
  • B. OSG
    OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
  • C. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • D. OSDL
    OSDL (Open Source Development Labs) was a nonprofit organization that supported and promoted the development and adoption of the Linux operating system, particularly in enterprise environments.
  • E. OPSG
    OPSG is a U.S. federal grant program that provides funding to state, local, and tribal law enforcement agencies to enhance border security and cooperation along international land and water borders.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aec394081909a9569c02ac372af completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0791e48190af18299c22f6a804 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.