Triple

T28616097
Position Surface form Disambiguated ID Type / Status
Subject GetLastError E724275 entity
Predicate errorCodesInterpretedBy P82886 FINISHED
Object FormatMessage
FormatMessage is a Windows API function that converts system error codes and other messages into human-readable text strings.
E1824460 NE FINISHED

How this triple was built (3 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: FormatMessage | Statement: [GetLastError, errorCodesInterpretedBy, FormatMessage]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FormatMessage
Triple: [GetLastError, errorCodesInterpretedBy, FormatMessage]
Generated description
FormatMessage is a Windows API function that converts system error codes and other messages into human-readable text strings.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: errorCodesInterpretedBy
Context triple: [GetLastError, errorCodesInterpretedBy, FormatMessage]
  • A. errorDescription
    Indicates a textual explanation that describes the nature or details of an error that has occurred.
  • B. definesErrorCode
    Indicates that one entity specifies or assigns the error code used to represent a particular error condition in another entity.
  • C. errorStatusSemantics chosen
    Indicates how the meaning or interpretation of an error status value should be understood within a given context or system.
  • D. eraInterpreted
    Indicates that one entity has been interpreted, understood, or given meaning by another entity.
  • E. configurationCodeMeaning
    Indicates the semantic meaning or interpretation associated with a given configuration code.
  • F. None of above.

Provenance (6 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_69f01d816d7c8190a1fe27e3434041dc completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6617ba4a88190bfc5c305acb4f93f completed May 2, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb70d7bd88190971a5a3d95bcded1 completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cb902cb408190a26dd779a1e54383 completed May 31, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_6a1cb96a97388190a6fe8c697262da47 completed May 31, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69f660f082508190a95a7888ad66cb2e completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 4:31 a.m.