Triple

T30788611
Position Surface form Disambiguated ID Type / Status
Subject Mohammad Salameh E784024 entity
Predicate terrorismContext P109184 FINISHED
Object international terrorism against the United States 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: international terrorism against the United States | Statement: [Mohammad Salameh, terrorismContext, international terrorism against the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terrorismContext
Context triple: [Mohammad Salameh, terrorismContext, international terrorism against the United States]
  • A. usedTerrorism
    Indicates that an entity employed or supported acts of terrorism as a means to achieve its objectives.
  • B. threatContext chosen
    Indicates the situational conditions, factors, or environment in which a threat occurs or is relevant.
  • C. typeOfTerrorism
    Indicates a classification relationship where an act or event is identified as belonging to a specific category or type of terrorism.
  • D. terrorismDesignationYear
    Indicates the year in which an entity was officially designated as involved in terrorism (e.g., as a terrorist organization or supporter).
  • E. positionOnTerrorism
    Indicates a stance or viewpoint that an entity holds regarding terrorism, such as its causes, legitimacy, or appropriate responses.
  • 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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ed5d008190831cf8e44cce28af completed May 3, 2026, 12:03 a.m.
Created at: April 29, 2026, 8:41 p.m.