Triple

T27513817
Position Surface form Disambiguated ID Type / Status
Subject Annual Passport E694490 entity
Predicate grantsAccessType P66994 FINISHED
Object unlimited access 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: unlimited access | Statement: [Annual Passport, grantsAccessType, unlimited access]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantsAccessType
Context triple: [Annual Passport, grantsAccessType, unlimited access]
  • A. grantedRightsType chosen
    Indicates the specific category or nature of rights that have been granted in a given permission or authorization relationship.
  • B. designationGrantsAccessTo
    Indicates that holding a particular designation or role grants permission to access a specific resource or capability.
  • C. granteeType
    Indicates the classification or category of the entity that receives a grant or is granted a right, benefit, or permission.
  • D. accessRole
    Indicates the specific permissions or level of authority an entity has when accessing another entity or resource.
  • E. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • 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_69ef53842afc8190ba6bd4e4999bda67 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 27, 2026, 1:17 p.m.