Triple

T3742812
Position Surface form Disambiguated ID Type / Status
Subject Rabbinic courts E79740 entity
Predicate requiresForValidity P39303 FINISHED
Object qualified dayanim 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: qualified dayanim | Statement: [Rabbinic courts, requiresForValidity, qualified dayanim]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresForValidity
Context triple: [Rabbinic courts, requiresForValidity, qualified dayanim]
  • A. hasValidity
    Indicates that something possesses a period or condition during which it is considered legally, logically, or functionally acceptable or in force.
  • B. requiredBy
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • C. validityType
    Indicates the specific kind or category of validity that characterizes how or under what conditions something is considered valid.
  • D. requiresProperty
    Indicates that one entity depends on another entity possessing a specific property or attribute in order for a condition, action, or relationship to hold.
  • E. establishedRequirement chosen
    Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb563fac8190b6a55580d0386e8a completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc048f28c819092bed16a95a3cac1 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.