Triple

T9044807
Position Surface form Disambiguated ID Type / Status
Subject Osiauri E216726 entity
Predicate hasVehicleRegistrationCodeCountry P42506 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: [Osiauri, hasVehicleRegistrationCodeCountry, GE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GE
Context triple: [Osiauri, hasVehicleRegistrationCodeCountry, 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. GM
    GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
  • D. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • E. General Electric
    General Electric is a major American multinational conglomerate historically known for its leadership in industrial manufacturing, aviation, power, and healthcare technologies.
  • 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: hasVehicleRegistrationCodeCountry
Context triple: [Osiauri, hasVehicleRegistrationCodeCountry, GE]
  • A. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. countryOfRegistry
    Indicates the country in which an entity (such as a ship, aircraft, or company) is officially registered.
  • C. registrationCountry
    Indicates the country in which an entity is officially registered or incorporated.
  • D. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific country.
  • E. associatedCountryCode chosen
    Indicates that there is a relationship linking something to the country identified by the given 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
PD Predicate disambiguation batch_69cc5ee566b081909e3cdaf551dbd0ec completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:09 p.m.