Triple

T2518308
Position Surface form Disambiguated ID Type / Status
Subject CPT E55463 entity
Predicate categoryIIUsedFor P98 FINISHED
Object performance measurement 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: performance measurement | Statement: [CPT, categoryIIUsedFor, performance measurement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: categoryIIUsedFor
Context triple: [CPT, categoryIIUsedFor, performance measurement]
  • A. designationUsedFor
    Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
  • B. category2Description
    Indicates that an entity is associated with a secondary or more specific category, described by a textual label or explanation.
  • C. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. categoryDefinedIn
    Indicates that a category is formally specified or established within a particular source, context, or definitional framework.
  • E. category5Description
    Indicates a textual description that explains or characterizes the fifth category in a defined set of categories.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0bf37c0819088d28b5081ba7556 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.