Triple

T26048653
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 455 E647903 entity
Predicate canWorkInMultipleWith P50884 FINISHED
Object British Rail Class 456 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: British Rail Class 456 | Statement: [British Rail Class 455, canWorkInMultipleWith, British Rail Class 456]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canWorkInMultipleWith
Context triple: [British Rail Class 455, canWorkInMultipleWith, British Rail Class 456]
  • A. canOperateInMultipleWith chosen
    Indicates that an entity is capable of functioning or being used concurrently within multiple instances, contexts, or configurations of another entity.
  • B. canOperateInMultiple
    Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
  • C. multipleWorkingType
    Indicates that an entity is associated with more than one type of work or employment classification simultaneously.
  • D. hasMultipleWorking
    Indicates that an entity is associated with more than one working instance, role, or configuration simultaneously.
  • E. multipleWorkingWith
    Indicates that an entity is simultaneously collaborating or engaged in work with more than one other entity.
  • 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_69e77e8d419481908004e6318d28aaab completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6065c200881908080a1069c63207b completed May 2, 2026, 2:12 p.m.
PD Predicate disambiguation batch_69f5aff889988190ad10bcf1a280f717 completed May 2, 2026, 8:04 a.m.
Created at: April 22, 2026, 9:10 a.m.