Triple

T11725162
Position Surface form Disambiguated ID Type / Status
Subject Bayside E278744 entity
Predicate hasRailStation P726 FINISHED
Object Bayside station E208717 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: Bayside station | Statement: [Bayside, hasRailStation, Bayside station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayside station
Context triple: [Bayside, hasRailStation, Bayside station]
  • A. Bayside station chosen
    Bayside station is a Long Island Rail Road commuter rail stop in the Bayside neighborhood of Queens, New York City.
  • B. Bayside Station
    Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
  • C. DeBary station
    DeBary station is a SunRail commuter rail station in DeBary, Florida, serving as the northern endpoint of the system’s line.
  • D. Waterfront Station
    Waterfront Station is a major transit hub in downtown Vancouver, British Columbia, serving multiple rail and bus lines and providing access to the historic Gastown district.
  • E. Forest Hill station
    Forest Hill station is a railway station in the London Borough of Lewisham that serves both London Overground and National Rail services, connecting suburban south-east London with central and east London.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d603cc8190b2e68d0bdd793362 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a1d244c81908628b01afe467023 completed May 1, 2026, 11:10 a.m.
Created at: April 8, 2026, 9:41 p.m.