Triple

T18800097
Position Surface form Disambiguated ID Type / Status
Subject VPC Service Controls E459735 entity
Predicate requires P100 FINISHED
Object Access Context Manager for access levels NE NERFINISHED

How this triple was built (3 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: Access Context Manager for access levels | Statement: [VPC Service Controls, requires, Access Context Manager for access levels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Access Context Manager for access levels
Context triple: [VPC Service Controls, requires, Access Context Manager for access levels]
  • A. Access Control Model
    An Access Control Model is a framework that specifies how permissions are granted, restricted, and enforced to regulate which users or systems can access particular resources or operations.
  • B. SL Access
    SL Access is Stockholm's public transport smart card and ticketing system used for travel on buses, trains, and other SL services.
  • C. SecurityContext API
    The SecurityContext API is a Jakarta Security component that provides programmatic access to authentication and authorization information for the currently executing user within a Jakarta EE application.
  • D. AbstractContextManager
    AbstractContextManager is a base class in Python’s contextlib module that provides a standard foundation for creating custom context managers using the with statement.
  • E. View-based Access Control Model
    The View-based Access Control Model (VACM) is a security framework for SNMP that controls which portions of management data each user or group is allowed to access based on configurable views.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Access Context Manager for access levels
Target entity description: Access Context Manager for access levels is a Google Cloud service that lets you define and manage fine-grained, context-aware access policies to protect resources and control data access.
  • A. Access Control Model
    An Access Control Model is a framework that specifies how permissions are granted, restricted, and enforced to regulate which users or systems can access particular resources or operations.
  • B. SL Access
    SL Access is Stockholm's public transport smart card and ticketing system used for travel on buses, trains, and other SL services.
  • C. SecurityContext API
    The SecurityContext API is a Jakarta Security component that provides programmatic access to authentication and authorization information for the currently executing user within a Jakarta EE application.
  • D. AbstractContextManager
    AbstractContextManager is a base class in Python’s contextlib module that provides a standard foundation for creating custom context managers using the with statement.
  • E. View-based Access Control Model
    The View-based Access Control Model (VACM) is a security framework for SNMP that controls which portions of management data each user or group is allowed to access based on configurable views.
  • F. None of above. chosen

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02273b481909bc250144a0ace32 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.