Triple

T10351666
Position Surface form Disambiguated ID Type / Status
Subject MÁV E243894 entity
Predicate hasBrand P1500 FINISHED
Object MÁV-TRAKCIÓ E857878 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: MÁV-TRAKCIÓ | Statement: [MÁV, hasBrand, MÁV-TRAKCIÓ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MÁV-TRAKCIÓ
Context triple: [MÁV, hasBrand, MÁV-TRAKCIÓ]
  • A. MÁV chosen
    MÁV is the Hungarian State Railways company, responsible for operating most of Hungary’s national rail network and related infrastructure.
  • B. MÁV (Hungarian State Railways)
    MÁV (Hungarian State Railways) is Hungary’s national railway company, responsible for operating the country’s passenger and freight rail services and managing much of its rail infrastructure.
  • C. Slovenske železnice
    Slovenske železnice is Slovenia’s national railway company, responsible for operating the country’s passenger and freight rail services and managing much of its rail infrastructure.
  • D. ÖBB
    ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
  • E. Železničná spoločnosť Slovensko
    Železničná spoločnosť Slovensko is Slovakia’s state-owned passenger rail operator, providing regional and long-distance train services across the country.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9337978e8819087d0566df9e5aabd completed April 10, 2026, 5:29 p.m.
Created at: April 6, 2026, 11:57 a.m.