Triple

T11020722
Position Surface form Disambiguated ID Type / Status
Subject Statesman E260479 entity
Predicate hasSecurityClearanceLevel P20877 FINISHED
Object top secret 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: top secret | Statement: [Statesman, hasSecurityClearanceLevel, top secret]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecurityClearanceLevel
Context triple: [Statesman, hasSecurityClearanceLevel, top secret]
  • A. hasClearance chosen
    Indicates that one entity possesses the required authorization level or permission to access or perform actions on another entity or resource.
  • B. hasClearanceBelow
    Indicates that one entity’s clearance level is lower than another entity’s clearance level.
  • C. canBeDeclassifiedBy
    Indicates that an item currently classified or restricted may be lawfully downgraded or released by a specified authority or entity.
  • D. hasTypeOfSecrecy
    Indicates that something is associated with a particular kind or level of secrecy.
  • E. hasSecurityScreening
    Indicates that an entity is subject to, or has undergone, a security screening process.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797baad408190a53fd6941a750f68 completed April 9, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69d72e995e008190bbffb314129ed0cd completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.