Triple

T14148013
Position Surface form Disambiguated ID Type / Status
Subject District XI of Budapest E350602 entity
Predicate contains P35 FINISHED
Object Kelenföld railway station E349656 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: Kelenföld railway station | Statement: [District XI of Budapest, contains, Kelenföld railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelenföld railway station
Context triple: [District XI of Budapest, contains, Kelenföld railway station]
  • A. Kelenföld vasútállomás chosen
    Kelenföld vasútállomás is a major railway and public transport hub in southwest Budapest that connects suburban, regional, and metro services.
  • B. Lehel station
    Lehel station is a Munich U-Bahn underground railway station serving the Altstadt-Lehel district of Munich, Germany.
  • C. Kaposvár railway station
    Kaposvár railway station is the main rail transport hub serving the city of Kaposvár in southwestern Hungary.
  • D. Győr railway station
    Győr railway station is a major Hungarian rail hub in the city of Győr, serving as an important stop on international and domestic routes between Budapest, Vienna, and other regional destinations.
  • E. Budapest Keleti railway station
    Budapest Keleti railway station is the main international and long-distance railway terminal in Budapest, Hungary, serving as a major transportation hub in Central Europe.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:55 a.m.