Triple

T19279787
Position Surface form Disambiguated ID Type / Status
Subject Plzeň–Domažlice railway line E482155 entity
Predicate passesThrough P225 FINISHED
Object Staňkov 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: Staňkov | Statement: [Plzeň–Domažlice railway line, passesThrough, Staňkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staňkov
Context triple: [Plzeň–Domažlice railway line, passesThrough, Staňkov]
  • A. Staňkov chosen
    Staňkov is a small town in the Plzeň Region of the Czech Republic, known for its location on the Radbuza River and its traditional West Bohemian character.
  • B. Štěnovice
    Štěnovice is a municipality and village in the Plzeň Region of the Czech Republic, located just south of the city of Plzeň.
  • C. Stropkov
    Stropkov is a small town in northeastern Slovakia known for its location in the Ondava River valley and its historical and cultural heritage.
  • D. Štrkovec
    Štrkovec is a residential neighborhood and cadastral area within the Ružinov borough of Bratislava, Slovakia.
  • E. Štúrovo
    Štúrovo is a Slovak town on the Danube River opposite Esztergom, Hungary, known for its cross-border bridge and thermal spa tourism.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbf817c819098745ed365cda4a9 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:30 p.m.