Triple

T9530313
Position Surface form Disambiguated ID Type / Status
Subject RusLine E229872 entity
Predicate hasLogoText P3623 FINISHED
Object RusLine E229872 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: RusLine | Statement: [RusLine, hasLogoText, RusLine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RusLine
Context triple: [RusLine, hasLogoText, RusLine]
  • A. RusLine chosen
    RusLine is a Russian regional airline that operates domestic and short-haul international flights, primarily using a fleet of regional jets.
  • B. RUSLINE AIR
    RUSLINE AIR is the radio callsign used by RusLine, a Russian regional airline operating domestic and short-haul international flights.
  • C. Transsib
    Transsib is a common abbreviation for the Trans-Siberian Railway, the vast rail line that spans Russia from Moscow to the Pacific Ocean.
  • D. Filevskaya Line
    Filevskaya Line is one of the lines of the Moscow Metro, known for its partially surface-level sections and service to western districts of the city.
  • E. Amur–Yakutsk Mainline
    The Amur–Yakutsk Mainline is a major Russian railway line in the Russian Far East that extends the Trans-Siberian Railway northward toward Yakutsk, improving access to the remote Sakha Republic.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1527253588190ac365203ef382a2d completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8 p.m.