Triple

T19156318
Position Surface form Disambiguated ID Type / Status
Subject Lypky E468934 entity
Predicate hasTransportConnection P845 FINISHED
Object Klovska metro station 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: Klovska metro station | Statement: [Lypky, hasTransportConnection, Klovska metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klovska metro station
Context triple: [Lypky, hasTransportConnection, Klovska metro station]
  • A. Klovska metro station chosen
    Klovska metro station is a Kyiv Metro station on the Syretsko–Pecherska Line serving the central Pecherskyi District of Ukraine’s capital.
  • B. Bořislavka metro station
    Bořislavka metro station is a station on Prague’s Metro Line A serving the Bořislavka area in the Prague 6 district.
  • C. Karlaplan metro station
    Karlaplan metro station is an underground Stockholm Metro station on the red line, serving the Karlaplan square area in the Östermalm district of central Stockholm.
  • D. Kabaty metro station
    Kabaty metro station is the southern terminus of Warsaw Metro Line M1, serving the Kabaty residential district in southern Warsaw.
  • E. Dejvická metro station
    Dejvická metro station is a major Prague Metro station on Line A serving as a key transport hub in the Dejvice district of Prague 6.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb9cf9081908b17073755e83554 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.