Triple

T17675911
Position Surface form Disambiguated ID Type / Status
Subject TDD E440641 entity
Predicate typicalTestLevel P31955 FINISHED
Object unit tests 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: unit tests | Statement: [TDD, typicalTestLevel, unit tests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalTestLevel
Context triple: [TDD, typicalTestLevel, unit tests]
  • A. testingLevel chosen
    Indicates the degree or intensity to which something is examined, evaluated, or tested.
  • B. typicalIntermediateLevel
    Indicates that something represents a common or standard degree of difficulty, complexity, or proficiency that falls between beginner and advanced levels.
  • C. typicalHighestLevel
    Indicates the usual or most common maximum level or degree that something typically reaches within a given context.
  • D. typicalEquipmentLevel
    Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
  • E. typicalLowestLevel
    Indicates that something represents the most basic or minimal level that is commonly or normally found within a given context.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6cca54819094ea0bed1517724e completed April 19, 2026, 6 a.m.
PD Predicate disambiguation batch_69e3cde007d8819090dd92eea9f022cc completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 10 a.m.