Triple

T7305665
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 720 E167966 entity
Predicate owner P347 FINISHED
Object Angel Trains E566662 NE FINISHED

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: Angel Trains | Statement: [British Rail Class 720, owner, Angel Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Trains
Context triple: [British Rail Class 720, owner, Angel Trains]
  • A. Angel Trains chosen
    Angel Trains is a major UK rolling stock leasing company that owns and leases passenger train fleets to train operating companies across Britain.
  • B. This Train
    "This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
  • C. End of the World Train
    The End of the World Train is a historic narrow-gauge railway in Ushuaia that offers scenic rides through the landscapes of Tierra del Fuego at the southern tip of Argentina.
  • D. Zion Train
    "Zion Train" is a reggae-influenced track by Bob Marley & The Wailers known for its spiritual themes and horn-driven groove.
  • E. Sleep Train
    Sleep Train is a former American mattress retail chain known for its extensive network of bedding stores, particularly in the western United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd61c0c8190abb1368c9dfb1550 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e5603a288190a19d426905781cae completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.