Triple

T2260303
Position Surface form Disambiguated ID Type / Status
Subject Kaspi E50021 entity
Predicate postalCountryCode P17984 FINISHED
Object GE E40849 NE FINISHED

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: GE | Statement: [Kaspi, postalCountryCode, GE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GE
Context triple: [Kaspi, postalCountryCode, GE]
  • A. GE chosen
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • B. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • C. General Electric
    General Electric is a major American multinational conglomerate historically known for its leadership in industrial manufacturing, aviation, power, and healthcare technologies.
  • D. GEKE
    GEKE is the German abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
  • E. General Motors
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • 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: postalCountryCode
Context triple: [Kaspi, postalCountryCode, GE]
  • A. postalCountry
    Indicates the country associated with an entity’s postal or mailing address.
  • B. hasPostalCountryCode chosen
    Indicates that an entity is associated with a specific country code used for postal addressing or mail routing.
  • C. postalCodeInCountry
    Indicates that a given postal code is assigned to and valid within a particular country.
  • D. postalCounty
    Indicates the county associated with an entity for postal addressing or mail delivery purposes.
  • E. FIPSCountryCode
    Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
  • F. None of above.

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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc2ea65288190bc8644a07a11dfa9 completed March 7, 2026, 6:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abbdb592588190ac1ef5e8c54575b1 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.