Triple

T9933435
Position Surface form Disambiguated ID Type / Status
Subject LIR Portal E192698 entity
Predicate userRoleSupported P10797 FINISHED
Object LIR administrator 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: LIR administrator | Statement: [LIR Portal, userRoleSupported, LIR administrator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: userRoleSupported
Context triple: [LIR Portal, userRoleSupported, LIR administrator]
  • A. supportsRole chosen
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • B. ClientRole
    Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
  • C. supportsRoleBasedAccessControl
    Indicates that an entity provides or enables role-based access control, allowing permissions or access rights to be managed based on assigned roles.
  • D. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • E. hasLegalRole
    Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b89c808190a2e766025dd53bd5 completed April 2, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69cd1d9428cc81909b4b4938566d78a7 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:44 p.m.