Triple

T17134753
Position Surface form Disambiguated ID Type / Status
Subject Muro di Sormano E415805 entity
Predicate hasGradientSections P69426 FINISHED
Object multiple ramps above 20% 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: multiple ramps above 20% | Statement: [Muro di Sormano, hasGradientSections, multiple ramps above 20%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGradientSections
Context triple: [Muro di Sormano, hasGradientSections, multiple ramps above 20%]
  • A. hasGradientSection chosen
    Indicates that an entity includes a portion or segment where some property changes gradually rather than remaining constant.
  • B. hasGradient
    Indicates that one entity possesses or is characterized by a gradual change in value, intensity, or property across its extent or between two points.
  • C. hasVerticalSection
    Indicates that one entity possesses or includes a distinct vertical section or segment as part of its structure or representation.
  • D. usesGradientInformation
    Indicates that an entity performs its operation by leveraging gradient (derivative) information, typically to guide optimization or learning steps.
  • E. hasElevatedSections
    Indicates that one entity contains or features parts that are raised or elevated relative to its other sections.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02dca8881908efd73741397a207 completed April 18, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69e3830192ac819091344a9e5a36c8c9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.