Triple

T7226467
Position Surface form Disambiguated ID Type / Status
Subject Katy Flyer E154792 entity
Predicate railroadNicknamed P44063 FINISHED
Object Katy E154789 NE FINISHED

How this triple was built (3 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 | Statement: [Katy Flyer, railroadNicknamed, Katy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy
Context triple: [Katy Flyer, railroadNicknamed, Katy]
  • A. Katy chosen
    Katy is the popular nickname for the Missouri–Kansas–Texas Railroad, a historic American railway that served the central and southern United States.
  • B. Katy
    Katy is a tough, sharp-witted woman from the Canadian comedy series "Letterkenny," known for being Wayne’s sister and a core member of the show’s central friend group.
  • C. Katy
    Katy is a common feminine given name, typically used as a diminutive form of Katherine or similar names.
  • D. Wimberley
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • E. Celina
    Celina is a rapidly growing suburban city in the northern part of the Dallas–Fort Worth metropolitan area in Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railroadNicknamed
Context triple: [Katy Flyer, railroadNicknamed, Katy]
  • A. originalRailroadName
    Indicates the name of the railroad as it was originally known or designated, before any later changes such as mergers, rebrandings, or renamings.
  • B. railroadMet
    Indicates that two or more railroads encountered or connected with each other at a specific place or time.
  • C. railroad
    Indicates that one entity constructs, operates, or provides railroad or train transportation services for another entity or area.
  • D. formerRailroad
    Indicates that an entity was previously a railroad but no longer functions as one.
  • E. railwayName chosen
    Indicates the name assigned to a specific railway or railway line in the relationship.
  • F. None of above.

Provenance (4 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.
PD Predicate disambiguation batch_69c6e761b7fc8190857794d78af1b468 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:54 p.m.