Triple

T14865998
Position Surface form Disambiguated ID Type / Status
Subject Budapest bus lines E349617 entity
Predicate operator P179 FINISHED
Object BKV Zrt. E349652 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: BKV Zrt. | Statement: [Budapest bus lines, operator, BKV Zrt.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKV Zrt.
Context triple: [Budapest bus lines, operator, BKV Zrt.]
  • A. MVK Zrt.
    MVK Zrt. is the municipal public transport company operating bus and tram services in the city of Miskolc, Hungary.
  • B. BGYH Zrt.
    BGYH Zrt. is a Budapest-based company that operates and manages the city’s historic thermal baths and spa facilities.
  • C. BKV chosen
    BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
  • D. BVZ Holding
    BVZ Holding is a Swiss transport and tourism company that operates and manages regional railways and related services in the Alpine region.
  • E. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650e8aec8190acd4a9cb9cad2039 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.