Triple

T14095695
Position Surface form Disambiguated ID Type / Status
Subject Bein haMetzarim E339247 entity
Predicate marriageRestriction P112803 FINISHED
Object customary avoidance of weddings 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: customary avoidance of weddings | Statement: [Bein haMetzarim, marriageRestriction, customary avoidance of weddings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageRestriction
Context triple: [Bein haMetzarim, marriageRestriction, customary avoidance of weddings]
  • A. marriageTerritory
    Indicates that a marriage is legally or socially recognized within a specific geographic or jurisdictional territory.
  • B. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • C. marriageBefore
    Indicates that one marriage event occurred earlier in time than another marriage event.
  • D. marriageLegalStatus
    Indicates the legal status of a marriage relationship between entities, such as whether it is valid, invalid, pending, or dissolved under applicable law.
  • E. marriageClauseCondition
    Indicates that a specific condition or set of conditions related to a marriage clause must be satisfied for the associated legal or contractual effect to apply.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
PD Predicate disambiguation batch_69de05b2f7e481908a9a7d40153234c0 completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de2398856c81908bed6070e4ca6ab1 completed April 14, 2026, 11:23 a.m.
Created at: April 9, 2026, 10:22 p.m.