Triple

T15103362
Position Surface form Disambiguated ID Type / Status
Subject Budapest Metro Line 4 E360724 entity
Predicate depot P14646 FINISHED
Object Kelenföld depot 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 depot | Statement: [Budapest Metro Line 4, depot, Kelenföld depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelenföld depot
Context triple: [Budapest Metro Line 4, depot, Kelenföld depot]
  • A. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • B. Grunewald depot
    Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
  • C. Elfenau depot
    Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
  • D. Kelenföld vasútállomás chosen
    Kelenföld vasútállomás is a major railway and public transport hub in southwest Budapest that connects suburban, regional, and metro services.
  • E. Lehel station
    Lehel station is a Munich U-Bahn underground railway station serving the Altstadt-Lehel district of Munich, Germany.
  • 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_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.