Triple

T22017284
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 325 E543745 entity
Predicate operator P179 FINISHED
Object Rail Express Systems 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: Rail Express Systems | Statement: [British Rail Class 325, operator, Rail Express Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rail Express Systems
Context triple: [British Rail Class 325, operator, Rail Express Systems]
  • A. Rail Express Systems chosen
    Rail Express Systems was a British Rail sector responsible for operating mail and parcels trains across the UK rail network in the 1990s.
  • B. Rapid Rail
    Rapid Rail is a Malaysian public transport operator responsible for running several urban rail transit lines in the Greater Kuala Lumpur area.
  • C. Airport Express railway
    Airport Express railway is a high-speed rail service in Hong Kong that links Hong Kong International Airport with the city’s main urban and business districts.
  • D. Metropolitan Area Express
    Metropolitan Area Express is the official name of Portland, Oregon’s MAX Light Rail public transit system.
  • E. Exo rail system
    The Exo rail system is the commuter rail network serving the Greater Montreal area in Quebec, Canada.
  • 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.