Triple

T23048115
Position Surface form Disambiguated ID Type / Status
Subject Budapest–Székesfehérvár line E573933 entity
Predicate operator P179 FINISHED
Object MÁV NE NERFINISHED

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 | Statement: [Budapest–Székesfehérvár line, operator, MÁV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MÁV
Context triple: [Budapest–Székesfehérvár line, operator, MÁV]
  • A. MÁV chosen
    MÁV is the Hungarian State Railways company, responsible for operating most of Hungary’s national rail network and related infrastructure.
  • B. Austrian Airlines
    Austrian Airlines is the flag carrier airline of Austria, operating an extensive network of European and long-haul flights from its main hub in Vienna.
  • C. Flughafen Wien AG
    Flughafen Wien AG is an Austrian publicly listed company that operates and manages Vienna International Airport and related airport services.
  • D. Tyrolean Airways
    Tyrolean Airways was an Austrian regional airline known for operating short-haul routes in the Alps and other European regions.
  • E. Malev Hungarian Airlines
    Malev Hungarian Airlines was the former national flag carrier of Hungary, operating scheduled passenger flights across Europe and beyond until its closure in 2012.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867a206c81909ff923cbf56f7787 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.