Triple

T16046452
Position Surface form Disambiguated ID Type / Status
Subject HSL 4 E389232 entity
Predicate operator P179 FINISHED
Object Infrabel E322969 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: Infrabel | Statement: [HSL 4, operator, Infrabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infrabel
Context triple: [HSL 4, operator, Infrabel]
  • A. Infrabel chosen
    Infrabel is the Belgian railway infrastructure manager responsible for the construction, maintenance, and operation of the national rail network.
  • B. 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.
  • C. Société des Transports Intercommunaux de Bruxelles
    The Société des Transports Intercommunaux de Bruxelles (STIB/MIVB) is the main public transport operator in Brussels, managing the city’s metro, tram, and bus networks.
  • D. Intercity Brussels
    Intercity Brussels is an international high-speed train service connecting the Netherlands with Brussels in Belgium.
  • E. 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.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835dd9a0819087e362cf5770232a completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbdbcf248190b7122d61d857e806 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.