Triple

T35916607
Position Surface form Disambiguated ID Type / Status
Subject Jira Align E1038762 entity
Predicate supportsScaleLevel P206106 FINISHED
Object team level 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: team level | Statement: [Jira Align, supportsScaleLevel, team level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsScaleLevel
Context triple: [Jira Align, supportsScaleLevel, team level]
  • A. supportScale
    Indicates that one entity enables or accommodates the other’s ability to grow or operate effectively at larger size, capacity, or load.
  • B. supportsScalingDirection
    Indicates that one entity enables or is compatible with a particular direction or mode of scaling (such as scaling up, scaling down, or scaling out) of another entity.
  • C. hasScale
    Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
  • D. hasPowerScale
    Indicates that one entity is associated with a particular scale or measure of power relative to others.
  • E. coversScale
    Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
  • 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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037ce53de881908cf14141cf3bc570 completed May 12, 2026, 7:17 p.m.
Created at: May 3, 2026, 4:07 p.m.