Triple

T27593504
Position Surface form Disambiguated ID Type / Status
Subject Marathon E699836 entity
Predicate canScale P135871 FINISHED
Object applications horizontally 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: applications horizontally | Statement: [Marathon, canScale, applications horizontally]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canScale
Context triple: [Marathon, canScale, applications horizontally]
  • A. isScalable chosen
    Indicates that something can handle increasing amounts of work, users, or data without a proportional loss of performance or efficiency.
  • B. coversScale
    Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
  • C. hasScale
    Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
  • D. wasScaledFor
    Indicates that something was adjusted in size, capacity, or extent to suit a particular context, requirement, or target.
  • E. isScaleInvariant
    Indicates that a property, equation, or system remains unchanged when all relevant dimensions or variables are uniformly scaled by a common factor.
  • 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_69ef6a4d71f081909a1235763206b691 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63055b96c8190b53a73a68c05c133 completed May 2, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69f62c1921008190a62675a31f66a875 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:06 p.m.