Triple

T15103369
Position Surface form Disambiguated ID Type / Status
Subject Budapest Metro Line 4 E360724 entity
Predicate connectsStation P845 FINISHED
Object Kelenföld railway station E1138016 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: [Budapest Metro Line 4, connectsStation, Kelenföld railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelenföld railway station
Context triple: [Budapest Metro Line 4, connectsStation, Kelenföld railway station]
  • A. Kelenföld vasútállomás
    Kelenföld vasútállomás is a major railway and public transport hub in southwest Budapest that connects suburban, regional, and metro services.
  • B. Budapest Kelenföld railway station chosen
    Budapest Kelenföld railway station is a major transport hub in southwest Budapest, serving long-distance, regional, and suburban rail lines as well as metro and bus connections.
  • C. Lehel station
    Lehel station is a Munich U-Bahn underground railway station serving the Altstadt-Lehel district of Munich, Germany.
  • D. Kaposvár railway station
    Kaposvár railway station is the main rail transport hub serving the city of Kaposvár in southwestern Hungary.
  • E. 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.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec87ce9808190a862ac5839272711 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:05 a.m.