Triple

T7226396
Position Surface form Disambiguated ID Type / Status
Subject Katy E154789 entity
Predicate notablePassengerTrain P1669 FINISHED
Object Katy Flyer E154792 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: Katy Flyer | Statement: [Katy, notablePassengerTrain, Katy Flyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy Flyer
Context triple: [Katy, notablePassengerTrain, Katy Flyer]
  • A. Katy Flyer chosen
    The Katy Flyer was a prominent passenger train that operated in the central United States, serving key routes of the Missouri–Kansas–Texas Railroad during the early to mid-20th century.
  • B. Blue Flyer
    Blue Flyer is a classic family-friendly wooden roller coaster located at the Blackpool Pleasure Beach amusement park in England.
  • C. Skylark
    "Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
  • D. Keely
    Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
  • E. Katie
    "Katie" is a daytime talk show hosted by journalist and television personality Katie Couric that aired in the early 2010s.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.