Triple

T8741731
Position Surface form Disambiguated ID Type / Status
Subject Siberia Airlines E207518 entity
Predicate ICAOcode P419 FINISHED
Object SBI E207516 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: SBI | Statement: [Siberia Airlines, ICAOcode, SBI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBI
Context triple: [Siberia Airlines, ICAOcode, SBI]
  • A. SBI chosen
    SBI is the ICAO airline designator used to identify S7 Airlines in international aviation operations.
  • B. SBI
    SBI is a business-focused academic unit commonly known as the School of Business and Industry, offering education and training in management, commerce, and related fields.
  • C. Punjab National Bank
    Punjab National Bank is one of India’s oldest and largest public sector banks, known for its extensive nationwide branch network and significant role in the country’s banking and financial services sector.
  • D. ING Bank
    ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
  • E. Gosbank
    Gosbank was the central bank of the Soviet Union, responsible for issuing currency and overseeing the state-controlled financial system.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d6fd5dc8190906b7147f27c5d46 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6ef8d7f88190aea21c82da47e4a0 completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:38 p.m.