Triple

T28871651
Position Surface form Disambiguated ID Type / Status
Subject Query/Retrieve Service Class E732158 entity
Predicate supportsMatching P203824 FINISHED
Object attribute-based query matching 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: attribute-based query matching | Statement: [Query/Retrieve Service Class, supportsMatching, attribute-based query matching]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMatching
Context triple: [Query/Retrieve Service Class, supportsMatching, attribute-based query matching]
  • A. supportsFinding
    Indicates that one entity provides the capability or functionality needed to perform, enable, or carry out a particular finding operation on another entity or resource.
  • B. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • C. supportedAfter
    Indicates that one entity provided support to another only after a specified event, time, or condition had occurred.
  • D. supportsReach
    Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
  • E. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • 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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_6a02145017b08190bd424cc647c08d3b completed May 11, 2026, 5:39 p.m.
PD Predicate disambiguation batch_6a021338e2b08190980c489ee44c18b3 completed May 11, 2026, 5:34 p.m.
PDg Predicate description generation batch_6a02144f627c81909ead77e8e6b8f84f completed May 11, 2026, 5:39 p.m.
Created at: April 28, 2026, 7:33 a.m.