Triple

T8304390
Position Surface form Disambiguated ID Type / Status
Subject Place Franz Liszt E194425 entity
Predicate transportConnection P1298 FINISHED
Object RER Gare du Nord E727824 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: RER Gare du Nord | Statement: [Place Franz Liszt, transportConnection, RER Gare du Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RER Gare du Nord
Context triple: [Place Franz Liszt, transportConnection, RER Gare du Nord]
  • A. Paris Métro Gare du Nord chosen
    Paris Métro Gare du Nord is a major Parisian underground station and interchange hub serving multiple metro and RER lines beneath the Gare du Nord railway terminus.
  • B. RER Vaud
    RER Vaud is a regional express rail network in the canton of Vaud, Switzerland, providing frequent commuter and regional train services connecting local towns and cities.
  • C. RER A
    RER A is one of the main lines of the Paris regional express network, carrying large volumes of commuters and travelers between central Paris and its suburbs.
  • D. RER B line
    The RER B line is a major Paris regional express railway line that connects central Paris with key northern and southern suburbs, including Charles de Gaulle Airport.
  • E. RER A terminus
    RER A terminus is the endpoint station of Paris’s RER A commuter rail line, where trains start or finish their routes.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8b9f6081909100d1da8a078616 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde772559c819080f411802bbcfef1 completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:53 p.m.