Triple

T21064537
Position Surface form Disambiguated ID Type / Status
Subject Operation Orchard E518931 entity
Predicate securityClassificationInIsrael P406 FINISHED
Object censored for several years 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: censored for several years | Statement: [Operation Orchard, securityClassificationInIsrael, censored for several years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityClassificationInIsrael
Context triple: [Operation Orchard, securityClassificationInIsrael, censored for several years]
  • A. securityClassification chosen
    Indicates the level or category of security sensitivity or access restriction assigned to an entity.
  • B. governmentClassification
    Indicates that an entity is assigned a specific status or category according to a government’s official classification system.
  • C. securityClassificationReason
    Indicates the justification or basis for assigning a particular security classification to an entity or information.
  • D. isoClassificationStatus
    Indicates the current status or stage of an entity within an ISO-based classification or standardization process.
  • E. classificationLevel
    Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb29e388190a80fa969a4daa606 completed April 21, 2026, 4:36 a.m.
PD Predicate disambiguation batch_69e5dbf9d71881908cd85dfc37db93ca completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:44 p.m.