Triple

T8633924
Position Surface form Disambiguated ID Type / Status
Subject Intercity Brussels E204472 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: [Intercity Brussels, operator, SNCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCB
Context triple: [Intercity Brussels, 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. ProRail
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • E. STIB-MIVB
    STIB-MIVB is the primary public transport company in Brussels, Belgium, operating the city’s metro, tram, and bus networks.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4743d31881908cf9fc3838c4bdd9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc13073c8190ad6e92b8f7161739 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.