Triple

T34242481
Position Surface form Disambiguated ID Type / Status
Subject Third Netanyahu Government E878502 entity
Predicate securityPolicyIssue P191034 FINISHED
Object rocket fire from Gaza 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: rocket fire from Gaza | Statement: [Third Netanyahu Government, securityPolicyIssue, rocket fire from Gaza]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityPolicyIssue
Context triple: [Third Netanyahu Government, securityPolicyIssue, rocket fire from Gaza]
  • A. securityAdvisory
    Indicates a relationship where an entity issues, references, or is associated with a warning or guidance about security vulnerabilities, risks, or protective measures.
  • B. securityImplication
    Indicates that one entity has a consequence, effect, or relevance for the safety, protection, or vulnerability status of another entity or system.
  • C. securityVulnerability
    Indicates that an entity has a weakness or flaw that could be exploited to compromise its security.
  • D. majorSecurityIssue
    Indicates that the subject faces or causes a significant security vulnerability or threat.
  • E. securityReason
    Indicates that something occurs, is restricted, or is justified due to concerns about safety, protection, or maintaining security.
  • F. None of above. chosen

Provenance (4 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_69f349b22d8c819096b22df268382aa9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
PDg Predicate description generation batch_69fcd866dd248190bff61c43bee93f54 completed May 7, 2026, 6:22 p.m.
Created at: May 1, 2026, 1:56 a.m.