Triple

T726041
Position Surface form Disambiguated ID Type / Status
Subject Orlyval E14727 entity
Predicate connectsTo P845 FINISHED
Object Paris RER network E68667 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: Paris RER network | Statement: [Orlyval, connectsTo, Paris RER network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris RER network
Context triple: [Orlyval, connectsTo, Paris RER network]
  • A. RER network chosen
    The RER network is a rapid transit system of express suburban trains serving Paris and its surrounding metropolitan area, integrating both urban and regional rail services.
  • B. Île-de-France tramway network
    The Île-de-France tramway network is the extensive system of modern tram lines serving Paris and its surrounding suburbs, complementing the metro and RER as a key component of the region’s public transport.
  • 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. Paris Metro
    The Paris Metro is the extensive rapid transit system serving Paris and its suburbs, known for its dense network, Art Nouveau station entrances, and central role in the city’s public transportation.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c005750881909187edfa8e8fa02c completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:37 p.m.