Triple

T17943199
Position Surface form Disambiguated ID Type / Status
Subject SU95 E448635 entity
Predicate aircraftPrimaryOperationalRegion P129820 FINISHED
Object Russia NE NERFINISHED

How this triple was built (3 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: Russia | Statement: [SU95, aircraftPrimaryOperationalRegion, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [SU95, aircraftPrimaryOperationalRegion, Russia]
  • A. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • B. ROSSIYA
    ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
  • C. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • D. Rusko
    Rusko is a British electronic music producer and DJ known for pioneering the modern dubstep sound.
  • E. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftPrimaryOperationalRegion
Context triple: [SU95, aircraftPrimaryOperationalRegion, Russia]
  • A. ICAORegion
    Indicates that an entity is located within, associated with, or governed by a specific ICAO (International Civil Aviation Organization) region.
  • B. primaryLongHaulRegion
    Indicates the main long-distance geographic region in which an entity primarily operates or is associated for long-haul activities.
  • C. associatedAirportGeographicRegion
    Indicates that an airport is located within or linked to a specific geographic region.
  • D. operatedInRegion
    Indicates that an entity conducted operations or activities within a specified geographic region.
  • E. countryServedByOperatedAirport
    Indicates that a given country is the one whose air transport needs are served by a particular airport that operates within or for it.
  • F. None of above. chosen

Provenance (4 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
PD Predicate disambiguation batch_69e3f8f2bd088190b1e22ad4d9cc8b13 completed April 18, 2026, 9:34 p.m.
PDg Predicate description generation batch_69e42d8d68288190a05dc5d7803cf823 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:21 a.m.