Triple

T13379378
Position Surface form Disambiguated ID Type / Status
Subject משמר הגבול E319273 entity
Predicate סוג_אימון P97216 FINISHED
Object אימון לוחמה בטרור 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: אימון לוחמה בטרור | Statement: [משמר הגבול, סוג_אימון, אימון לוחמה בטרור]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: סוג_אימון
Context triple: [משמר הגבול, סוג_אימון, אימון לוחמה בטרור]
  • A. providesTrainingFor
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • B. trainingModality chosen
    Indicates the method or format through which training or instruction is delivered or conducted.
  • C. trainingClub
    Indicates that one entity serves as a club or organization where the other entity receives training.
  • D. trainingSystem
    Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
  • E. trainingUnder
    Indicates that one entity is receiving instruction, guidance, or mentorship from another, typically in a subordinate or apprentice-like capacity.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce56c6c8190adf4e19f6d1bc233 completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a03189908190a784a2755f8d81e1 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:33 p.m.