Triple

T5014310
Position Surface form Disambiguated ID Type / Status
Subject LYD E112702 entity
Predicate operatorContext P60845 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: [LYD, operatorContext, SNCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNCF
Context triple: [LYD, operatorContext, 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. Francorail
    Francorail was a French railway manufacturing consortium known for producing high-speed trainsets, including early models of the TGV.
  • D. SNCF Connect
    SNCF Connect is the official digital platform and app of the French national railway company, providing online ticket booking, travel planning, and real-time information for trains and other transport services.
  • E. SNCF Voyageurs
    SNCF Voyageurs is the passenger rail operating division of France’s national railway company, responsible for running high-speed, regional, and commuter train 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: operatorContext
Context triple: [LYD, operatorContext, SNCF]
  • A. operatorVariant
    Indicates a relationship where one operator is an alternative or modified form of another, typically differing in implementation, configuration, or usage while serving a related function.
  • B. originContext
    Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
  • C. operateIn
    Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
  • D. operator
    Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
  • E. operationOf
    Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
  • F. None of above. chosen

Provenance (5 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69bd714cbc448190aa53a8a83d768b64 completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd73089f548190834103366e24ab40 completed March 20, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:35 p.m.