Triple

T14232475
Position Surface form Disambiguated ID Type / Status
Subject Brabant route E352784 entity
Predicate operator P179 FINISHED
Object ProRail E74236 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: ProRail | Statement: [Brabant route, operator, ProRail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ProRail
Context triple: [Brabant route, operator, ProRail]
  • A. ProRail chosen
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • B. Nederlandse Spoorwegen
    Nederlandse Spoorwegen is the principal Dutch railway company responsible for most passenger train services across the Netherlands.
  • C. Staatsspoorwegen
    Staatsspoorwegen was the main state-owned railway company of the Dutch East Indies, responsible for developing and operating much of the colonial-era rail infrastructure in what is now Indonesia.
  • D. SNCB/NMBS
    SNCB/NMBS is the Belgian national railway company responsible for operating most passenger train services and managing much of the rail infrastructure in Belgium.
  • E. Spoornet
    Spoornet was South Africa’s former state-owned freight rail operator, responsible for much of the country’s heavy rail transport before being restructured and rebranded.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c2bbfec81909ade3dd4306d69e3 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:07 a.m.