Triple

T11569875
Position Surface form Disambiguated ID Type / Status
Subject Israir Airlines E274356 entity
Predicate ICAOCode P419 FINISHED
Object ISR E37847 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: ISR | Statement: [Israir Airlines, ICAOCode, ISR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISR
Context triple: [Israir Airlines, ICAOCode, ISR]
  • A. ISR chosen
    ISR is the three-letter ISO 3166-1 alpha-3 country code assigned to Israel for international standardization and data representation.
  • B. ISR
    ISR is a leading social science research institute at the University of Michigan known for its pioneering survey research and data collection.
  • C. IAS
    IAS (Interactive Application System) is a multi-user, multitasking operating system developed by Digital Equipment Corporation for their PDP-11 minicomputers.
  • D. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • E. IAS
    IAS is the commonly used abbreviation for the Indian Academy of Sciences, a premier scientific society in India dedicated to promoting and advancing science.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd543a48190b834abd8e8ae7b65 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8dec908819080d97cd33be55b3f completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.