Triple

T32123673
Position Surface form Disambiguated ID Type / Status
Subject NSInternalInconsistencyException E820442 entity
Predicate loggingBehavior P173600 FINISHED
Object prints exception name and reason 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: prints exception name and reason | Statement: [NSInternalInconsistencyException, loggingBehavior, prints exception name and reason]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loggingBehavior
Context triple: [NSInternalInconsistencyException, loggingBehavior, prints exception name and reason]
  • A. loggingMode
    Indicates the configuration or method by which events, actions, or data are recorded in logs.
  • B. loggingTool
    Indicates that an entity serves as or uses a tool specifically intended for logging events, data, or activities.
  • C. loggingPolicy
    Indicates the rules or configuration that govern how events, actions, or data are recorded and stored in logs.
  • D. loggingLevel
    Indicates the severity or detail level at which events or messages are recorded in a logging system.
  • E. loggingLocation
    Indicates the place or destination where logs or logging information are recorded or stored.
  • 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_69f34902d42c819083a8e6bba9a8bb9a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b967d5308190bbb66d0a8dd52612 completed May 3, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
PDg Predicate description generation batch_69f6b49339048190b617a6749f648825 completed May 3, 2026, 2:36 a.m.
Created at: May 1, 2026, 12:29 a.m.