Triple

T4826469
Position Surface form Disambiguated ID Type / Status
Subject HC Škoda Plzeň E107836 entity
Predicate basedIn P40 FINISHED
Object Plzeň, Czech Republic E19529 NE FINISHED

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: Plzeň, Czech Republic | Statement: [HC Škoda Plzeň, basedIn, Plzeň, Czech Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plzeň, Czech Republic
Context triple: [HC Škoda Plzeň, basedIn, Plzeň, Czech Republic]
  • A. Plzeň chosen
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • B. Nymburk
    Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
  • C. Protivín, Czech Republic
    Protivín, Czech Republic is a small historic town in South Bohemia known for its traditional architecture, brewery heritage, and proximity to the Blanice River.
  • D. Liberec
    Liberec is a city in the northern Czech Republic known for its textile industry heritage, mountainous surroundings, and the landmark Ještěd Tower.
  • E. Plzeň-City District
    Plzeň-City District is an administrative district in the Czech Republic centered on the city of Plzeň, serving as a key political, economic, and cultural hub of the surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9f5291f881909d9470a728667346 completed March 22, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.