Triple

T846396
Position Surface form Disambiguated ID Type / Status
Subject Lille E18284 entity
Predicate railwayHubFor P14468 FINISHED
Object TGV network E11761 NE FINISHED

How this triple was built (3 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: TGV network | Statement: [Lille, railwayHubFor, TGV network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGV network
Context triple: [Lille, railwayHubFor, TGV network]
  • A. TGV high-speed rail chosen
    TGV high-speed rail is France’s flagship high-speed train service that connects major cities and hubs, including direct links from Charles de Gaulle Airport to destinations across the country and into neighboring nations.
  • B. Ouigo
    Ouigo is a low-cost high-speed train service operated by France's SNCF, offering budget TGV travel with simplified onboard services.
  • C. Intercités
    Intercités is a network of French long-distance conventional trains operated by SNCF, connecting major cities and regions across the country.
  • D. SNCF Réseau
    SNCF Réseau is the French state-owned rail infrastructure manager responsible for operating, maintaining, and developing France’s national railway network.
  • E. RER network
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwayHubFor
Context triple: [Lille, railwayHubFor, TGV network]
  • A. railwayJunctionFor chosen
    Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
  • B. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • C. hasRailwayStation
    Indicates that a place or location is served by, or contains, a railway station.
  • D. railwayUse
    Indicates that something is used as, or functions in the capacity of, a railway or rail-based transportation facility.
  • E. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • F. None of above.

Provenance (4 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0a91e48190b4349ae8bb67fd90 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bb2fa08190b1e8f26ceb04b08c completed March 4, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a4aa7f396c8190aa8b8dfbe0b4f732 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.