Triple

T9598395
Position Surface form Disambiguated ID Type / Status
Subject Zionist Organization of America E231788 entity
Predicate positionOnSecurity P89137 FINISHED
Object supports robust Israeli security measures — 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: supports robust Israeli security measures | Statement: [Zionist Organization of America, positionOnSecurity, supports robust Israeli security measures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnSecurity
Context triple: [Zionist Organization of America, positionOnSecurity, supports robust Israeli security measures]
  • A. positionOnIdentity
    Indicates a stance, view, or opinion that an entity holds regarding identity-related issues or characteristics.
  • B. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • C. safetyPositioning
    Indicates the spatial or situational arrangement of entities to ensure or enhance safety.
  • D. positionOnSanctions
    Indicates a stance or viewpoint an entity holds regarding the use, implementation, or support of sanctions.
  • E. positionOnReason
    Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a366d3481908db62e476958eafe completed April 1, 2026, 10:20 p.m.
PD Predicate disambiguation batch_69ccd5a359788190b24f82399489f7fe completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93fc45c8190a823305e461e581d completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:07 p.m.