Triple

T8880043
Position Surface form Disambiguated ID Type / Status
Subject SNCF Connect E211385 entity
Predicate officialAppOf P66728 FINISHED
Object SNCF E37919 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: SNCF | Statement: [SNCF Connect, officialAppOf, SNCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCF
Context triple: [SNCF Connect, officialAppOf, SNCF]
  • A. SNCF chosen
    SNCF is France’s national state-owned railway company, responsible for operating the country’s passenger and freight rail services and much of its rail infrastructure.
  • B. SNCF Réseau
    SNCF Réseau is the French state-owned rail infrastructure manager responsible for operating, maintaining, and developing France’s national railway network.
  • C. SNCF Sud-Est region
    The SNCF Sud-Est region was a major operating division of the French national railway company responsible for managing and running rail services in the southeastern part of France, including key routes linking Paris with Lyon and the Mediterranean.
  • D. OUIGO
    OUIGO is a low-cost high-speed train service operated by France’s national railway company SNCF, offering budget-friendly travel on major routes.
  • E. Francorail
    Francorail was a French railway manufacturing consortium known for producing high-speed trainsets, including early models of the TGV.
  • 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: officialAppOf
Context triple: [SNCF Connect, officialAppOf, SNCF]
  • A. hasApp
    Indicates that an entity possesses, provides, or is associated with a particular application.
  • B. officialToolFor chosen
    Indicates that one entity is formally designated or authorized as the standard or primary tool to be used for another entity or purpose.
  • C. exampleApplication
    Indicates that something serves as a representative or illustrative instance of how an application is used or functions.
  • D. isDefaultAppFor
    Indicates that an application is designated as the primary or automatically chosen program for handling a specific type of content, action, or protocol.
  • E. definesApplication
    Indicates that one entity specifies or establishes the purpose, scope, or behavior of an application associated with 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61677c9c8190aa09dc2a05d4cf95 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7d89f081908a98c8b0be4f8910 completed April 3, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69cc5c2956788190a311c647b4da17a6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:52 p.m.