Triple

T32709665
Position Surface form Disambiguated ID Type / Status
Subject jakarta.annotation.security.RolesAllowed E836363 entity
Predicate canBeAppliedOn P1129 FINISHED
Object enterprise bean business methods 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: enterprise bean business methods | Statement: [jakarta.annotation.security.RolesAllowed, canBeAppliedOn, enterprise bean business methods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeAppliedOn
Context triple: [jakarta.annotation.security.RolesAllowed, canBeAppliedOn, enterprise bean business methods]
  • A. appliesFrom
    Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
  • B. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • C. appliesTo chosen
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • D. appliesToFeature
    Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
  • E. appliesOver
    Indicates that one entity’s effect, rule, or condition extends across or is valid for a specified range, domain, or set of entities.
  • 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_69f3493446148190819541f3ffe79975 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe5ec9028081909ae3d6fbe2f4cbbc completed May 8, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69fe5e1d715881909fc516fafc707644 completed May 8, 2026, 10:05 p.m.
Created at: May 1, 2026, 1:10 a.m.