Triple

T27731479
Position Surface form Disambiguated ID Type / Status
Subject System.Diagnostics.ConditionalAttribute E697439 entity
Predicate typicalSymbolExample P201466 FINISHED
Object DEBUG 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: DEBUG | Statement: [System.Diagnostics.ConditionalAttribute, typicalSymbolExample, DEBUG]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalSymbolExample
Context triple: [System.Diagnostics.ConditionalAttribute, typicalSymbolExample, DEBUG]
  • A. typicalSymbol
    Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
  • B. exampleSymbol
    Indicates that there is a generic or placeholder relationship between entities, used as an example rather than a specific, defined interaction.
  • C. typicalExpressionExample
    Indicates that the given expression is a representative or characteristic example of how something is typically expressed or formulated.
  • D. typicalMetasymbol
    Indicates a relationship where one entity serves as a standard or representative metasymbol typically used to denote or stand in for another entity or concept.
  • E. symbolizes
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • 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_69ef590c3e288190ad54d2465af8ca4e completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69fff9b126b4819085a4cf8791d388d1 completed May 10, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69fff8f913a881908d3b7e490d92631f completed May 10, 2026, 3:18 a.m.
PDg Predicate description generation batch_69fff9b0338c8190a24ed0b5dc9784b2 completed May 10, 2026, 3:21 a.m.
Created at: April 27, 2026, 3:11 p.m.