Triple

T19617698
Position Surface form Disambiguated ID Type / Status
Subject FC Viktoria Plzeň E470910 entity
Predicate nickname P55 FINISHED
Object Viktorka 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: Viktorka | Statement: [FC Viktoria Plzeň, nickname, Viktorka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktorka
Context triple: [FC Viktoria Plzeň, nickname, Viktorka]
  • A. Viktorka chosen
    Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
  • B. Křemelná
    Křemelná is a river in the Czech Republic that serves as one of the main headwaters of the Otava River.
  • C. Viktoria
    Viktoria is a feminine given name of Latin origin, commonly used in various European countries as a variant of "Victoria."
  • D. Vinka
    Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
  • E. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e346548190b12e38d716bdfc4f completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.