Triple

T14609850
Position Surface form Disambiguated ID Type / Status
Subject Amtrak train 63 E342927 entity
Predicate namedAfter P63 FINISHED
Object Maple Leaf route E1108157 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: Maple Leaf route | Statement: [Amtrak train 63, namedAfter, Maple Leaf route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maple Leaf route
Context triple: [Amtrak train 63, namedAfter, Maple Leaf route]
  • A. Maple Leaf route chosen
    The Maple Leaf route is an international passenger rail service connecting New York City and Toronto via upstate New York and Ontario.
  • B. Middle Country Road
    Middle Country Road is a major east–west thoroughfare on Long Island, New York, serving as a key commercial and commuter route through central Suffolk County.
  • C. Portobello Road
    Portobello Road is a famous street in London renowned for its vibrant antiques and street market, eclectic shops, and multicultural atmosphere.
  • D. Waterloo Road
    Waterloo Road is a British television drama series set in a troubled comprehensive school, focusing on the lives of its teachers and students.
  • E. Waterloo Road
    Waterloo Road is a major thoroughfare in central London running near Waterloo station and connecting key cultural and commercial areas on the South Bank.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91d05e48190ac945e381d6d5dd9 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.