Triple

T27425698
Position Surface form Disambiguated ID Type / Status
Subject Sotetsu Railway E690477 entity
Predicate connectsWithOperator P54001 FINISHED
Object JR East 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: JR East | Statement: [Sotetsu Railway, connectsWithOperator, JR East]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsWithOperator
Context triple: [Sotetsu Railway, connectsWithOperator, JR East]
  • 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. connectsWithin
    Indicates that one entity establishes a connection or link between elements that lie inside the bounds or scope of another entity.
  • E. connectsWithMode
    Indicates a relationship where one entity connects to another using a specified method, channel, or mode of connection.
  • 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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69fba78aca4c8190b8f1831e8cc04e06 completed May 6, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69fba34a65a4819088bac6c17542d71c completed May 6, 2026, 8:23 p.m.
Created at: April 27, 2026, 12:40 p.m.