Triple

T22017285
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 325 E543745 entity
Predicate operator P179 FINISHED
Object EWS 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: EWS | Statement: [British Rail Class 325, operator, EWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EWS
Context triple: [British Rail Class 325, operator, EWS]
  • A. EWS
    EWS is a United States Marine Corps professional military education institution that trains company-grade officers in the planning and execution of expeditionary and amphibious operations.
  • B. EWS chosen
    EWS (English, Welsh & Scottish Railway) was a major British rail freight company that operated a large fleet of locomotives and became the dominant freight operator in the UK before being rebranded as DB Cargo UK.
  • C. ESW
    ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
  • D. EWE
    EWE is the National Rail station code for Ewell West railway station in Surrey, England.
  • E. ESSWE
    ESSWE is a scholarly organization dedicated to promoting academic research and dialogue on Western esoteric traditions in Europe and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c4e0088190a5241d1b87d746da completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.