Triple

T35744609
Position Surface form Disambiguated ID Type / Status
Subject Cayuga White E1033134 entity
Predicate trainingSystemCompatibility P184082 FINISHED
Object high cordon 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: high cordon | Statement: [Cayuga White, trainingSystemCompatibility, high cordon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingSystemCompatibility
Context triple: [Cayuga White, trainingSystemCompatibility, high cordon]
  • A. automationCompatibility
    Indicates that one entity can be reliably and effectively operated, controlled, or integrated through automated systems or processes in relation to another entity.
  • B. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • C. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • D. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
  • E. compatibilityCondition
    Indicates that a specific requirement or set of criteria must be satisfied for two or more entities to be considered compatible or able to function together.
  • F. None of above. chosen

Provenance (4 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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aaabb58c8190bf81673608ecfb6e completed May 3, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
PDg Predicate description generation batch_69f7aa6795f481908940838ee7041ff5 completed May 3, 2026, 8:04 p.m.
Created at: May 3, 2026, 4:06 p.m.