Triple

T25019496
Position Surface form Disambiguated ID Type / Status
Subject Denniston E626532 entity
Predicate inclineGradient P25297 FINISHED
Object up to 1 in 1.25 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: up to 1 in 1.25 | Statement: [Denniston, inclineGradient, up to 1 in 1.25]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inclineGradient
Context triple: [Denniston, inclineGradient, up to 1 in 1.25]
  • A. hasIncline chosen
    Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
  • B. inclinationAngle
    Indicates the angle at which one object or reference frame is tilted or inclined relative to another specified baseline or plane.
  • C. railwayGradient
    Indicates the slope or steepness of a railway track along its route.
  • D. inclinationConstraint
    Indicates a restriction or condition placed on the allowable angle or tilt between entities or components.
  • E. inclinationClass
    Indicates a categorization of something based on the type or degree of its inclination or tilt.
  • 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_69e2ff28ee3881909c626af002457a4a completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44ba9108c8190aca5c07f277d82b8 completed May 1, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69f442c0c2e88190acd7f170f10ccef6 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 6:06 a.m.