Triple

T2556443
Position Surface form Disambiguated ID Type / Status
Subject Azure SQL Managed Instance E56739 entity
Predicate compatibilityLevel P40831 FINISHED
Object near 100% compatibility with SQL Server 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: near 100% compatibility with SQL Server | Statement: [Azure SQL Managed Instance, compatibilityLevel, near 100% compatibility with SQL Server]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compatibilityLevel
Context triple: [Azure SQL Managed Instance, compatibilityLevel, near 100% compatibility with SQL Server]
  • A. compatibilityGoal
    Indicates that one entity has an objective or intended outcome related to being compatible or achieving compatibility with another entity.
  • B. requiresCompatibilityWith
    Indicates that one entity can only function correctly or be used if it is compatible with another specified entity.
  • C. requiresLanguageVersion
    Indicates that one entity depends on or must use a specific version of a language in order to function or be considered valid.
  • D. backwardCompatibility
    Indicates that one entity remains functional or compatible when used with an earlier version or older form of another entity.
  • E. backwardCompatibleWith
    Indicates that one entity can correctly interpret, use, or function with data, interfaces, or behavior designed for an earlier version of another entity.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd5a1cd508190a660b9a3c6b7cbcb completed March 7, 2026, 7:37 a.m.
Created at: March 6, 2026, 9:48 p.m.