Triple

T5263049
Position Surface form Disambiguated ID Type / Status
Subject Mossad E118870 entity
Predicate hasSecrecyLevel P51148 FINISHED
Object highly classified 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: highly classified | Statement: [Mossad, hasSecrecyLevel, highly classified]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecrecyLevel
Context triple: [Mossad, hasSecrecyLevel, highly classified]
  • A. hasTypeOfSecrecy
    Indicates that something is associated with a particular kind or level of secrecy.
  • B. hasSecurityClass chosen
    Indicates that an entity is assigned to or associated with a particular security classification level.
  • C. disclosureLevel
    Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
  • D. hasConfidentialityObligation
    Indicates that an entity is bound by a duty to keep certain information secret and not disclose it to unauthorized parties.
  • E. hasSecurityCategory
    Indicates that an entity is associated with a particular security classification or category defining its protection or access level.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd2eff4819087420e30c140e6f6 completed March 20, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69bd77c55224819096c0bcfcfae79bd3 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:51 p.m.