Triple

T17569163
Position Surface form Disambiguated ID Type / Status
Subject Result E427889 entity
Predicate errorCaseRepresents P43799 FINISHED
Object an error conforming to Error protocol 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: an error conforming to Error protocol | Statement: [Result, errorCaseRepresents, an error conforming to Error protocol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: errorCaseRepresents
Context triple: [Result, errorCaseRepresents, an error conforming to Error protocol]
  • A. errorType chosen
    Indicates the specific category or kind of error associated with an event, action, or entity.
  • B. errorTerm
    Indicates the specific discrepancy or residual value that quantifies the difference between an observed outcome and its predicted or true value in a model or calculation.
  • C. errorRecovery
    Indicates that an entity detects a failure or error condition and initiates actions to restore normal or acceptable operation.
  • D. reasonForException
    Indicates the specific cause or justification for why a normal rule, process, or condition does not apply in a given case.
  • E. reportsCaseTo
    Indicates that one party formally submits or communicates a case, incident, or issue to another party, typically an authority or responsible entity.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.