Triple

T34621073
Position Surface form Disambiguated ID Type / Status
Subject EWS E889003 entity
Predicate operatedClass P202834 FINISHED
Object British Rail Class 37 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 37 | Statement: [EWS, operatedClass, British Rail Class 37]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedClass
Context triple: [EWS, operatedClass, British Rail Class 37]
  • A. operatedAs
    Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
  • B. operatorClass
    Indicates the classification or category of an operator in terms of its type, role, or functional group within a system or domain.
  • C. operatedWith
    Indicates that an entity performed an action, function, or process using a specified tool, method, or instrument.
  • D. operatedFor
    Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
  • 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 (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_69f349d584e08190b40b9f6281ad50c4 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a00c3362dcc819096e49b882709fddd completed May 10, 2026, 5:41 p.m.
PD Predicate disambiguation batch_6a00c2e5cdd88190a5f2d0f6a843cd56 completed May 10, 2026, 5:39 p.m.
PDg Predicate description generation batch_6a00c3355498819088253d5e5c17267f completed May 10, 2026, 5:41 p.m.
Created at: May 1, 2026, 2:04 a.m.