Triple

T1947011
Position Surface form Disambiguated ID Type / Status
Subject Terminal C (Sheremetyevo) E42077 entity
Predicate airportCode P418 FINISHED
Object SVO E42072 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: SVO | Statement: [Terminal C (Sheremetyevo), airportCode, SVO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVO
Context triple: [Terminal C (Sheremetyevo), airportCode, SVO]
  • A. SVO chosen
    SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
  • B. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • C. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • D. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • E. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26feafb08190a4e7152ec2b4fcba completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:36 p.m.