Triple

T15886856
Position Surface form Disambiguated ID Type / Status
Subject Rebbetzin E385212 entity
Predicate usedInCommunityType P120937 FINISHED
Object Orthodox Jewish communities 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: Orthodox Jewish communities | Statement: [Rebbetzin, usedInCommunityType, Orthodox Jewish communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInCommunityType
Context triple: [Rebbetzin, usedInCommunityType, Orthodox Jewish communities]
  • A. usedInCommunity
    Indicates that something is employed, practiced, or applied within a particular community or communal context.
  • B. usedByCommunity
    Indicates that something is utilized or adopted collectively by a particular community.
  • C. hasCommunityType
    Indicates that an entity is associated with or classified under a particular type or category of community.
  • D. usedByCommunitySize
    Indicates that something is utilized or adopted by a community characterized by a particular size or number of members.
  • E. appliesToCommunity
    Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular community as a whole.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142c3e18c8190bb7b023f4a0eaebb completed April 16, 2026, 8:12 p.m.
PDg Predicate description generation batch_69e174da2c2c819099ec46616798245a completed April 16, 2026, 11:46 p.m.
Created at: April 10, 2026, 4:51 a.m.