Triple

T28144087
Position Surface form Disambiguated ID Type / Status
Subject Temple of the Forbidden Eye E714426 entity
Predicate hasRideSystemContext P23569 FINISHED
Object enhanced motion vehicle path 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: enhanced motion vehicle path | Statement: [Temple of the Forbidden Eye, hasRideSystemContext, enhanced motion vehicle path]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRideSystemContext
Context triple: [Temple of the Forbidden Eye, hasRideSystemContext, enhanced motion vehicle path]
  • A. hasRideSystem chosen
    Indicates that one entity (typically an attraction or ride) uses or is associated with a particular ride system or ride mechanism.
  • B. hasRideEnvironment
    Indicates that an entity is associated with, or takes place within, a particular ride-related environment or setting.
  • C. hasTransportationContext
    Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
  • D. hasRideDynamic
    Indicates that one entity exhibits or is associated with a particular ride behavior or dynamic in relation to another entity.
  • E. hasSubRide
    Indicates that a ride or journey is composed of, or includes, one or more smaller component rides or segments.
  • 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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 27, 2026, 9:55 p.m.