Triple

T17569283
Position Surface form Disambiguated ID Type / Status
Subject BidirectionalCollection E427892 entity
Predicate elementAccessComplexity P28756 FINISHED
Object O(1) 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: O(1) | Statement: [BidirectionalCollection, elementAccessComplexity, O(1)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: elementAccessComplexity
Context triple: [BidirectionalCollection, elementAccessComplexity, O(1)]
  • A. hasComplexity chosen
    Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
  • B. accessMethod
    Indicates the means, process, or technique by which something is accessed, retrieved, or made available.
  • C. accessStructure
    Indicates that one entity has the ability, permission, or means to reach, use, or interact with the structure represented by the other entity.
  • D. typeOfAccess
    Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
  • E. accessGranularity
    Indicates the level of detail or scope at which access or permissions are defined and applied within a system or resource.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.