Triple

T19860478
Position Surface form Disambiguated ID Type / Status
Subject Congregation Shaar Hashomayim E477241 entity
Predicate hasGenderPractice P137599 FINISHED
Object separate seating for men and women 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: separate seating for men and women | Statement: [Congregation Shaar Hashomayim, hasGenderPractice, separate seating for men and women]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGenderPractice
Context triple: [Congregation Shaar Hashomayim, hasGenderPractice, separate seating for men and women]
  • A. hasGenderConvention
    Indicates that there is an established or customary way of assigning or expressing gender within a given context, system, or culture.
  • B. hasGenderPolicy
    Indicates that an entity has adopted, implemented, or is governed by a specific policy related to gender issues or gender equality.
  • C. genderPracticeVariesBy
    Indicates that the way gender is expressed, understood, or practiced differs depending on the specific context, group, or setting involved.
  • D. hasGenderSystem
    Indicates that an entity employs or is characterized by a particular system for categorizing gender.
  • E. hasGenderInSomeTraditions
    Indicates that, in at least some cultural, religious, or historical traditions, the subject is regarded as having a specific gender.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589a68b081908c2f333b6a292a1f completed April 20, 2026, 4:47 p.m.
PD Predicate disambiguation batch_69e537e21d2881909b1be82f02b99d40 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c136b081909cab9394b958390a completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:51 p.m.