Triple

T21649217
Position Surface form Disambiguated ID Type / Status
Subject חיים סגפניים E534291 entity
Predicate עלול לגרום ל P694 FINISHED
Object בידוד חברתי 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: בידוד חברתי | Statement: [חיים סגפניים, עלול לגרום ל, בידוד חברתי]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: עלול לגרום ל
Context triple: [חיים סגפניים, עלול לגרום ל, בידוד חברתי]
  • A. causedLossOf
    Indicates that one entity brought about or was responsible for another entity experiencing a loss.
  • B. damageLeadsTo
    Indicates that one instance of damage causally results in or contributes to another specified outcome or condition.
  • C. causeOf chosen
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • D. causeOfAction
    Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
  • E. disruptsContinuityOf
    Indicates that one entity interrupts, breaks, or otherwise prevents the ongoing, uninterrupted progression or sequence of another entity or process.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59131c88819082df8e5b87f5954b completed April 27, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:35 p.m.