Triple

T2727996
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 E3 E60239 entity
Predicate includes P1393 FINISHED
Object Access E56706 NE 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: Access | Statement: [Microsoft 365 E3, includes, Access]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Access
Context triple: [Microsoft 365 E3, includes, Access]
  • A. Access chosen
    Access is Microsoft's desktop database management system that enables users to create, manage, and analyze relational databases through a graphical interface and integrated tools.
  • B. Aceso
    Aceso is a minor Greek goddess associated with the process of healing and the curing of illness.
  • C. SL Access
    SL Access is Stockholm's public transport smart card and ticketing system used for travel on buses, trains, and other SL services.
  • D. ACL
    ACL is the commonly used abbreviation for the Academia das Ciências de Lisboa, Portugal’s national academy of sciences.
  • E. ACL
    The Administration for Community Living (ACL) is a U.S. federal agency within the Department of Health and Human Services that promotes the independence, well-being, and rights of older adults and people with disabilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacffa6481909df37335e8fdd595 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.