Triple

T17149334
Position Surface form Disambiguated ID Type / Status
Subject Jersey Devil Coaster E416176 entity
Predicate seatsPerCar P109579 FINISHED
Object 1 LITERAL 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: 1 | Statement: [Jersey Devil Coaster, seatsPerCar, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatsPerCar
Context triple: [Jersey Devil Coaster, seatsPerCar, 1]
  • A. rowsPerCar
    Indicates the number of rows associated with or allocated to each individual car.
  • B. seatCount
    Indicates the number of seats associated with an entity, such as a venue, vehicle, or room.
  • C. quantityPerCar chosen
    Indicates the amount or number of a specified item associated with each individual car.
  • D. definesNumberOfSeats
    Indicates that an entity specifies or determines the total number of seats associated with another entity.
  • E. seatsPerRow
    Indicates the number of seats that are arranged in each row within a seating layout or configuration.
  • F. None of above.

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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4059d90819092d3609326fa3130 completed April 18, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.