Triple

T35758994
Position Surface form Disambiguated ID Type / Status
Subject Hardal yeshivot E1033520 entity
Predicate culturalNorms P182146 FINISHED
Object strict standards of modesty 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: strict standards of modesty | Statement: [Hardal yeshivot, culturalNorms, strict standards of modesty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalNorms
Context triple: [Hardal yeshivot, culturalNorms, strict standards of modesty]
  • A. hadSocialNorms chosen
    Indicates that certain social norms, customs, or unwritten rules were present and governed behavior within a given context or group.
  • B. attitudeTowardSocialNorms
    Indicates an entity’s stance, feelings, or orientation regarding prevailing social rules, expectations, or norms.
  • C. culturalAgreement
    Indicates that two or more entities share compatible cultural values, norms, or practices and mutually accept or endorse them.
  • D. isCulturalStandardFor
    Indicates that something is recognized or accepted as the customary or normative practice, value, or behavior within a particular culture or cultural context.
  • E. culturalVariation
    Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
  • 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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
Created at: May 3, 2026, 4:06 p.m.