Triple

T28823040
Position Surface form Disambiguated ID Type / Status
Subject SNCF Z 8800 E727823 entity
Predicate belongsToOperator P54001 FINISHED
Object SNCF Île-de-France network NE NERFINISHED

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: SNCF Île-de-France network | Statement: [SNCF Z 8800, belongsToOperator, SNCF Île-de-France network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToOperator
Context triple: [SNCF Z 8800, belongsToOperator, SNCF Île-de-France network]
  • A. associatedWithOperator chosen
    Indicates that an entity has a relationship, connection, or linkage to a specific operator (such as a service, system, or organization) involved in its operation or management.
  • B. relatesOperator
    Indicates that one entity is associated with, or functions as, an operator in relation to another entity.
  • C. involvesOperator
    Indicates that a given process, action, or relationship includes or makes use of a specific operator as a participating element.
  • D. isOperatorOn
    Indicates that one entity serves as an operator responsible for operating, controlling, or managing another entity (such as a system, machine, or process).
  • E. usesOperatorPosition
    Indicates that one entity occupies or is assigned to the role of an operator within a particular position or context.
  • F. None of above.

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_69f0319d09088190bbf14cdf1987792a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: April 28, 2026, 6:35 a.m.