Triple

T14478169
Position Surface form Disambiguated ID Type / Status
Subject Siemens Vectron E359028 entity
Predicate operator P179 FINISHED
Object SNCB E78978 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: SNCB | Statement: [Siemens Vectron, operator, SNCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCB
Context triple: [Siemens Vectron, operator, SNCB]
  • A. SNCB/NMBS chosen
    SNCB/NMBS is the Belgian national railway company responsible for operating most passenger train services and managing much of the rail infrastructure in Belgium.
  • B. Infrabel
    Infrabel is the Belgian railway infrastructure manager responsible for the construction, maintenance, and operation of the national rail network.
  • C. Intercity Brussels
    Intercity Brussels is an international high-speed train service connecting the Netherlands with Brussels in Belgium.
  • D. Belgian InterCity network
    The Belgian InterCity network is a system of fast, long-distance passenger train services connecting major cities and regional hubs across Belgium.
  • E. ProRail
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a257488190818c65c1cc84c4b5 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.