Triple

T1770170
Position Surface form Disambiguated ID Type / Status
Subject Thalys E38855 entity
Predicate parentOrganization P254 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: [Thalys, parentOrganization, SNCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCB
Context triple: [Thalys, parentOrganization, 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. ProRail
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • C. Brussels suburban rail network
    The Brussels suburban rail network is a regional commuter rail system serving Brussels and its surrounding areas, connecting the city with nearby towns and suburbs through frequent train services.
  • D. Belgian railway network
    The Belgian railway network is a dense, electrified rail system covering all regions of Belgium and connecting major cities domestically and internationally.
  • E. Brussels Metro
    The Brussels Metro is the rapid transit system serving Belgium’s capital, forming the core of its urban public transportation network with multiple underground and light rail lines.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648eb9488190b1be2d2b6d259634 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9936f5881909b78bda48039916a completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.