Triple

T32126520
Position Surface form Disambiguated ID Type / Status
Subject Migdal Oz E820514 entity
Predicate hasSecurityEventHistory P54960 FINISHED
Object subject to Israeli–Palestinian conflict incidents 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: subject to Israeli–Palestinian conflict incidents | Statement: [Migdal Oz, hasSecurityEventHistory, subject to Israeli–Palestinian conflict incidents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecurityEventHistory
Context triple: [Migdal Oz, hasSecurityEventHistory, subject to Israeli–Palestinian conflict incidents]
  • A. hasSecurityEvent
    Indicates that a security-related incident or event is associated with, or has occurred for, a given entity.
  • B. securityHistory chosen
    Indicates a record of past security-related events, states, or changes associated with an entity.
  • C. hasAccessRestrictionHistory
    Indicates that there exists a record or sequence of past changes detailing how access to something has been restricted over time.
  • D. hasPolicyHistory
    Indicates that an entity is associated with a record or sequence of past policies that have applied to it over time.
  • E. eventHistory
    Indicates a relationship where an entity is associated with a chronological record of past events or occurrences involving it.
  • 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_69f34902d42c819083a8e6bba9a8bb9a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff3b32ee148190a3ba3b7600943fef completed May 9, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69ff3a238af88190a2c2245e30299e48 completed May 9, 2026, 1:44 p.m.
Created at: May 1, 2026, 12:29 a.m.