Triple

T7460174
Position Surface form Disambiguated ID Type / Status
Subject Batwing E176224 entity
Predicate suspendsRidersBeneathTrack P77210 FINISHED
Object true 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: true | Statement: [Batwing, suspendsRidersBeneathTrack, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: suspendsRidersBeneathTrack
Context triple: [Batwing, suspendsRidersBeneathTrack, true]
  • A. supportsRiderPosition
    Indicates that one entity provides a stable or appropriate base or configuration that maintains or accommodates the rider’s body position.
  • B. hasParkingLotOnBothSidesOfTracks
    Indicates that there are parking lots located on both sides of the railway tracks at a given location.
  • C. railTracks
    Indicates that one entity consists of, includes, or is associated with rail tracks used for guiding trains or rail vehicles.
  • D. numberOfRiders
    Indicates the total count of riders associated with a given entity or event.
  • E. hasSingleRiderLine
    Indicates that a ride or attraction offers a dedicated line for solo riders, separate from the regular queue.
  • F. None of above. chosen

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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d525708190b7838e07ac2fbe1f completed March 27, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c6f03bad9c8190bdd5abb86d37df47 completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f386daac81908ded91b397b44148 completed March 27, 2026, 9:15 p.m.
Created at: March 27, 2026, 3:38 p.m.