Triple

T15551417
Position Surface form Disambiguated ID Type / Status
Subject Budapest tram network E370752 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 tram network, operator, BKV Zrt.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKV Zrt.
Context triple: [Budapest tram network, 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:08 a.m.