Triple

T3375724
Position Surface form Disambiguated ID Type / Status
Subject Metro Line 1 (Millennium Underground) E71061 entity
Predicate operator P179 FINISHED
Object BKV Zrt. E349651 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: [Metro Line 1 (Millennium Underground), operator, BKV Zrt.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKV Zrt.
Context triple: [Metro Line 1 (Millennium Underground), 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. BKV
    BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
  • C. Budapesti Közlekedési Vállalat chosen
    Budapesti Közlekedési Vállalat is the main public transport company of Budapest, responsible for operating the city’s extensive network of buses, trams, trolleybuses, and metro lines.
  • D. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • E. Mátraháza
    Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e5fc6c81909ff582611751096d completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334465b50819080c6f23eaa6583be completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.