Triple

T19992425
Position Surface form Disambiguated ID Type / Status
Subject Marktbreit E494094 entity
Predicate hasHistoricJewishCommunity P91263 FINISHED
Object yes 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: yes | Statement: [Marktbreit, hasHistoricJewishCommunity, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricJewishCommunity
Context triple: [Marktbreit, hasHistoricJewishCommunity, yes]
  • A. hasJewishCommunityHistory chosen
    Indicates that there is a documented history of a Jewish community being present, active, or influential in relation to the subject.
  • B. hasSignificantJewishCommunity
    Indicates that a place or entity possesses a notably large, influential, or historically important Jewish community.
  • C. hasSynagogueHistory
    Indicates that there exists a historical relationship or record connecting an entity to a synagogue, such as past ownership, use, events, or significance.
  • D. hadSignificantJewishPopulationBeforeWorldWarII
    Indicates that the subject place or region had a notably large or influential Jewish community prior to the outbreak of World War II.
  • E. hasJewishInstitution
    Indicates that a place, organization, or entity possesses, hosts, or is associated with a Jewish religious, cultural, or educational institution.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe10ffc81908c94168b0a8ea9c9 completed April 20, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69e537fd311881908448f2aea8b4812e completed April 19, 2026, 8:15 p.m.
Created at: April 11, 2026, 3:31 p.m.