Triple

T2346178
Position Surface form Disambiguated ID Type / Status
Subject RFC 1350 E45135 entity
Predicate specifiesErrorHandling P25610 FINISHED
Object ERROR packets with error codes 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: ERROR packets with error codes | Statement: [RFC 1350, specifiesErrorHandling, ERROR packets with error codes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: specifiesErrorHandling
Context triple: [RFC 1350, specifiesErrorHandling, ERROR packets with error codes]
  • A. errorHandlingModel chosen
    Indicates how a system or component manages, responds to, and recovers from errors or exceptional conditions during operation.
  • B. errorRecovery
    Indicates that an entity detects a failure or error condition and initiates actions to restore normal or acceptable operation.
  • C. errorPropagation
    Indicates how an error in one component, process, or variable is transmitted to and affects other components, processes, or variables in a system.
  • D. escapeBehavior
    Indicates a relationship where an entity actively attempts to avoid, flee from, or get away from another entity, situation, or constraint.
  • E. defaultStandardError
    Indicates that a default or typical value is used as the standard error associated with a measurement, estimate, or prediction.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abcade3c808190ab3803538ccbe620 completed March 7, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69abc59616a8819099711834e6f1ccd6 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:52 p.m.