Triple

T9598397
Position Surface form Disambiguated ID Type / Status
Subject Zionist Organization of America E231788 entity
Predicate positionOnTerrorism P89139 FINISHED
Object advocates strong measures against terrorism targeting Israel 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: advocates strong measures against terrorism targeting Israel | Statement: [Zionist Organization of America, positionOnTerrorism, advocates strong measures against terrorism targeting Israel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnTerrorism
Context triple: [Zionist Organization of America, positionOnTerrorism, advocates strong measures against terrorism targeting Israel]
  • A. typeOfTerrorism
    Indicates a classification relationship where an act or event is identified as belonging to a specific category or type of terrorism.
  • B. positionOnIslam
    Indicates the stance, viewpoint, or attitude that an entity holds toward Islam.
  • C. classifiedAsTerroristBy
    Indicates that an entity has been designated or labeled as a terrorist by a specified authority, organization, or actor.
  • D. terroristOrganization
    Indicates that an entity is recognized as a group that plans, supports, or carries out acts of terrorism.
  • E. hasTerroristAntagonist
    Indicates that the subject work features an antagonist who is a terrorist or engages in terrorism.
  • 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.