Triple

T7022223
Position Surface form Disambiguated ID Type / Status
Subject SR 143 E162853 entity
Predicate hasControlledAccess P47431 FINISHED
Object true 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: true | Statement: [SR 143, hasControlledAccess, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasControlledAccess
Context triple: [SR 143, hasControlledAccess, true]
  • A. controlsAccessTo
    Indicates that one entity regulates, manages, or determines the ability of another entity to reach, use, or interact with a resource, location, or service.
  • B. hasEntranceControl
    Indicates that an entity implements or is subject to mechanisms that regulate or control access to its entrance.
  • C. hasProtectedAreaAccess
    Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
  • D. hasHumanAccess
    Indicates that a human is able to access, use, or interact with the referenced entity or resource.
  • E. hasAccessConstraint chosen
    Indicates that there is a limiting condition or rule governing the ability to access or use a particular resource, service, or action.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e5ecd4488190bf19e42de55da98b completed March 27, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69c6e1b8118481909d76eb6616160e80 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:35 p.m.