Triple

T28593132
Position Surface form Disambiguated ID Type / Status
Subject Hebrew Wikiquote E723707 entity
Predicate supportOrganization P13222 FINISHED
Object local Wikimedia chapters 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: local Wikimedia chapters | Statement: [Hebrew Wikiquote, supportOrganization, local Wikimedia chapters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportOrganization
Context triple: [Hebrew Wikiquote, supportOrganization, local Wikimedia chapters]
  • A. supportsOrganization chosen
    Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
  • B. supportAgency
    Indicates that one entity provides assistance, backing, or resources to another entity in an official or organizational capacity.
  • C. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • D. supportsOrganizationUseCase
    Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
  • E. supportProgram
    Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
  • 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_69f01d7f92e481909847f5f3f3174a89 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_6a011ee3507081908b42de4278ae0b83 completed May 11, 2026, 12:12 a.m.
PD Predicate disambiguation batch_6a011e874420819091cac3f08e8aa3f9 completed May 11, 2026, 12:10 a.m.
Created at: April 28, 2026, 4:21 a.m.