Triple

T25864017
Position Surface form Disambiguated ID Type / Status
Subject Stoke Bank E651561 entity
Predicate worldRecordOperator P168903 FINISHED
Object London and North Eastern Railway 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: London and North Eastern Railway | Statement: [Stoke Bank, worldRecordOperator, London and North Eastern Railway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldRecordOperator
Context triple: [Stoke Bank, worldRecordOperator, London and North Eastern Railway]
  • A. largestOperator
    Indicates that the subject is the operator with the greatest size, capacity, or scale among a specified set of operators.
  • B. typicalOperator
    Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
  • C. otherOperator
    Indicates a relationship where one operator is distinguished from, or serves as an alternative to, another operator within the same context or system.
  • D. operationOf
    Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
  • E. operatorPeriod
    Indicates the time span during which an operator is active, responsible, or in effect for a given operation or system.
  • F. None of above. chosen

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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f67866e9248190b7ba218f9ca2ae8d completed May 2, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f675fd59608190b246383435e68fce completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676c35f3481909b9ba18a5662d6ce completed May 2, 2026, 10:12 p.m.
Created at: April 22, 2026, 8:06 a.m.