Triple

T1076341
Position Surface form Disambiguated ID Type / Status
Subject Information Security Oversight Office E23847 entity
Predicate shortName P43 FINISHED
Object ISOO E23847 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: ISOO | Statement: [Information Security Oversight Office, shortName, ISOO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISOO
Context triple: [Information Security Oversight Office, shortName, ISOO]
  • A. ISOO chosen
    ISOO is a U.S. government office responsible for overseeing the security classification system and safeguarding of national security information.
  • B. ISA
    ISA (Industry Standard Architecture) is an early computer bus standard used in IBM PCs and compatible systems to connect expansion cards and peripherals to the motherboard.
  • C. ISA
    ISA is the acronym for the International Seabed Authority, the intergovernmental organization responsible for regulating mineral-related activities in the international seabed area beyond national jurisdiction.
  • D. ISOC
    ISOC is a global nonprofit organization dedicated to ensuring the open development, evolution, and use of the Internet for the benefit of all people.
  • E. IOSA
    IOSA is the International Air Transport Association’s global safety audit program that assesses and certifies the operational management and control systems of airlines.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b940d4848190930e73597afd1fcf completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42abc7a08190a34f5b2d393db30e completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.