Triple

T2660465
Position Surface form Disambiguated ID Type / Status
Subject IATA Operational Safety Audit E54713 entity
Predicate shortName P43 FINISHED
Object IOSA E54714 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: IOSA | Statement: [IATA Operational Safety Audit, shortName, IOSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IOSA
Context triple: [IATA Operational Safety Audit, shortName, IOSA]
  • A. IOSA chosen
    IOSA is the International Air Transport Association’s global safety audit program that assesses and certifies the operational management and control systems of airlines.
  • B. Optical Society of America
    The Optical Society of America is a leading professional organization dedicated to advancing the study and application of optics and photonics through research, education, and industry collaboration.
  • C. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • D. ISCAS
    ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
  • E. ISOO
    ISOO is a U.S. government office responsible for overseeing the security classification system and safeguarding of national security information.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd9504d10819091abc03532a2fa6d completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa056f478819091f6751edfee0132 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.