Triple

T12984557
Position Surface form Disambiguated ID Type / Status
Subject Mercator projection E321733 entity
Predicate scaleDistortion P58733 FINISHED
Object increases with latitude 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: increases with latitude | Statement: [Mercator projection, scaleDistortion, increases with latitude]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scaleDistortion
Context triple: [Mercator projection, scaleDistortion, increases with latitude]
  • A. scalingProperty chosen
    Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
  • B. scaleProperty
    Indicates that one entity defines or modifies the scale, magnitude, or proportional sizing used to interpret or represent a property of another entity.
  • C. areaScale
    Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
  • D. scaleDefinition
    Indicates that an entity specifies the parameters, structure, or measurement system used to define a particular scale.
  • E. displacementScale
    Indicates the proportional factor by which an object's displacement is scaled relative to its original or reference value.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:40 p.m.