Triple

T16015150
Position Surface form Disambiguated ID Type / Status
Subject Scenic Railway E388445 entity
Predicate inclineType P111184 FINISHED
Object steep incline 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: steep incline | Statement: [Scenic Railway, inclineType, steep incline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inclineType
Context triple: [Scenic Railway, inclineType, steep incline]
  • A. hasIncline
    Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
  • B. inclinationClass chosen
    Indicates a categorization of something based on the type or degree of its inclination or tilt.
  • C. slopeType
    Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
  • D. hasSlopeRating
    Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
  • E. inclinationConstraint
    Indicates a restriction or condition placed on the allowable angle or tilt between entities or components.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:55 a.m.