Triple

T20354280
Position Surface form Disambiguated ID Type / Status
Subject Kapan E496099 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SY NE NERFINISHED

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: SY | Statement: [Kapan, vehicleRegistrationCode, SY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SY
Context triple: [Kapan, vehicleRegistrationCode, SY]
  • A. SY chosen
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • B. Sy
    Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
  • C. Sy
    Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
  • D. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • E. YS
    YS is the common abbreviation for the Tokyo Yakult Swallows, a professional baseball team in Japan’s Nippon Professional Baseball league.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67852ca9881908a5af18005639859 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.