Triple

T19058897
Position Surface form Disambiguated ID Type / Status
Subject Jičín railway station E466471 entity
Predicate serves P98 FINISHED
Object town of Jičín 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: town of Jičín | Statement: [Jičín railway station, serves, town of Jičín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Jičín
Context triple: [Jičín railway station, serves, town of Jičín]
  • A. Nový Jičín
    Nový Jičín is a historic town in the Moravian-Silesian Region of the Czech Republic, known for its well-preserved Renaissance square and hat-making tradition.
  • B. Týnec nad Sázavou
    Týnec nad Sázavou is a small Czech town in the Central Bohemian Region, known for its historic castle and scenic location on the Sázava River.
  • C. Jičín chosen
    Jičín is a historic town in the Czech Republic known for its well-preserved medieval center and association with the fairy-tale character Rumcajs.
  • D. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • E. Jetřichovice
    Jetřichovice is a small village and popular tourist base in the scenic sandstone landscape of Bohemian Switzerland in the Czech Republic.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc08572c8190af2f8bcfe9d1616c completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.