Triple

T5478465
Position Surface form Disambiguated ID Type / Status
Subject Executive Order 12065 E123412 entity
Predicate classificationLevelsDefined P7279 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: [Executive Order 12065, classificationLevelsDefined, Top Secret]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: classificationLevelsDefined
Context triple: [Executive Order 12065, classificationLevelsDefined, Top Secret]
  • A. classificationLevel chosen
    Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
  • B. designationLevel
    Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
  • C. codificationLevel
    Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
  • D. classLevel
    Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
  • E. hasCertificationLevels
    Indicates that an entity possesses one or more defined levels or tiers of certification within a particular certification scheme or program.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9247a16c8190ac5a02534da48853 completed March 20, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69bd91a58c448190904964a439045e05 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:09 p.m.