Triple

T17675891
Position Surface form Disambiguated ID Type / Status
Subject TDD E440641 entity
Predicate typicalCycle P29515 FINISHED
Object red-green-refactor 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: red-green-refactor | Statement: [TDD, typicalCycle, red-green-refactor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCycle
Context triple: [TDD, typicalCycle, red-green-refactor]
  • A. typicalNumberOfCycles
    Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
  • B. cycleType chosen
    Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
  • C. cycleWith
    Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
  • D. typicalPeriod
    Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
  • E. followsCycle
    Indicates that one entity adheres to or repeats a recurring sequence, pattern, or cycle defined or exemplified by another 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_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.