Triple

T1824953
Position Surface form Disambiguated ID Type / Status
Subject Ural Airlines E40631 entity
Predicate ICAOcode P419 FINISHED
Object SVR
SVR is the ICAO airline designator assigned to Ural Airlines, a Russian commercial air carrier.
 E204225 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: SVR | Statement: [Ural Airlines, ICAOcode, SVR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVR
Context triple: [Ural Airlines, ICAOcode, SVR]
  • A. SVR
    SVR is Russia’s primary foreign intelligence service, which succeeded the Soviet-era KGB’s external intelligence functions after the USSR’s dissolution.
  • B. SVR
    SVR is the set of post-nominal letters used to denote recipients of the Order of the White Rose of Finland.
  • C. SVRL
    SVRL (Schematron Validation Report Language) is an XML-based reporting format used to express the results of Schematron rule validations.
  • D. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • E. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • 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: SVR
Triple: [Ural Airlines, ICAOcode, SVR]
Generated description
SVR is the ICAO airline designator assigned to Ural Airlines, a Russian commercial air carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVR
Target entity description: SVR is the ICAO airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • A. SVR
    SVR is Russia’s primary foreign intelligence service, which succeeded the Soviet-era KGB’s external intelligence functions after the USSR’s dissolution.
  • B. SVR
    SVR is the set of post-nominal letters used to denote recipients of the Order of the White Rose of Finland.
  • C. SVRL
    SVRL (Schematron Validation Report Language) is an XML-based reporting format used to express the results of Schematron rule validations.
  • D. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • E. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0003d308190a024f8c03c5f5dad completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0bf37ac8190b9cbbc5454061e75 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc197f78481909f848e2ee2741e8d completed March 8, 2026, 6:36 p.m.
Created at: March 4, 2026, 7:32 p.m.