Triple

T36116456
Position Surface form Disambiguated ID Type / Status
Subject E1044625 entity
Predicate hasRoleLevel P2393 FINISHED
Object Yellow Belt NE NERFINISHED

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: Yellow Belt | Statement: [6σ, hasRoleLevel, Yellow Belt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoleLevel
Context triple: [6σ, hasRoleLevel, Yellow Belt]
  • A. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • B. hasLevel chosen
    Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
  • C. hasAccessTier
    Indicates that one entity is assigned or associated with a specific level or tier of access permissions to another entity or resource.
  • D. hasLegalRole
    Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
  • E. hasWorkingLevel
    Indicates that one entity possesses or is assigned a specific operational or functional level within a defined system or 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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69feb5e66224819083b87c3707a5a5e0 completed May 9, 2026, 4:19 a.m.
PD Predicate disambiguation batch_69feb3bd700c8190991ed200cd3c04db completed May 9, 2026, 4:10 a.m.
Created at: May 3, 2026, 4:08 p.m.