Triple

T21893672
Position Surface form Disambiguated ID Type / Status
Subject National Airport E540618 entity
Predicate hasStrictSecurityRestrictions P63696 FINISHED
Object yes 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: yes | Statement: [National Airport, hasStrictSecurityRestrictions, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStrictSecurityRestrictions
Context triple: [National Airport, hasStrictSecurityRestrictions, yes]
  • A. hasStrictProtection
    Indicates that an entity is subject to strong, enforceable safeguards or restrictions that tightly limit how it can be accessed, used, or altered.
  • B. hasAccessConstraint
    Indicates that there is a limiting condition or rule governing the ability to access or use a particular resource, service, or action.
  • C. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • D. hasPublicAccessRestrictions chosen
    Indicates that there are specific limitations or conditions governing public access to the associated resource or entity.
  • E. hasSecurityRegime
    Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc539708190a42f202e7404a213 completed April 28, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69e6be9a65888190a66598d62d20366c completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:07 p.m.