Triple

T1991296
Position Surface form Disambiguated ID Type / Status
Subject Rossiya Airlines E43256 entity
Predicate IATACode P418 FINISHED
Object FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
E222045 NE FINISHED

How this triple was built (4 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: FV | Statement: [Rossiya Airlines, IATACode, FV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FV
Context triple: [Rossiya Airlines, IATACode, FV]
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. FVEY
    FVEY is an abbreviation for the Five Eyes, an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States that cooperates on signals intelligence and security matters.
  • C.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. F
    The F is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and Queens Boulevard Line in Queens, connecting Brooklyn, Manhattan, and Queens.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FV
Triple: [Rossiya Airlines, IATACode, FV]
Generated description
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FV
Target entity description: FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. FVEY
    FVEY is an abbreviation for the Five Eyes, an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States that cooperates on signals intelligence and security matters.
  • C.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • F. None of above. chosen

Provenance (5 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8451fe8819093531052f4533c36 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0338631c8190a8c7e5177ac473a8 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03d3c3048190bf9c476bea8c4c1e completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0480bf9081909ee1ba5d5c805ab3 completed March 8, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:37 p.m.