Triple

T8172960
Position Surface form Disambiguated ID Type / Status
Subject Countess Olympia von und zu Arco-Zinneberg E190867 entity
Predicate hasTitleInJurisdiction P17238 FINISHED
Object nobility of Bavaria 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: nobility of Bavaria | Statement: [Countess Olympia von und zu Arco-Zinneberg, hasTitleInJurisdiction, nobility of Bavaria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleInJurisdiction
Context triple: [Countess Olympia von und zu Arco-Zinneberg, hasTitleInJurisdiction, nobility of Bavaria]
  • A. hasTitleInLaw
    Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
  • B. hasTitleIn
    Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
  • C. titleJurisdiction chosen
    Indicates the legal or official authority under which a title is recognized, governed, or issued.
  • D. hasTitleFrom
    Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
  • E. existsInJurisdiction
    Indicates that an entity is located within, falls under, or is subject to the authority of a particular legal or administrative jurisdiction.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4807c9808190ad91a9c688a4c7fd completed March 31, 2026, 4:05 a.m.
PD Predicate disambiguation batch_69cb36a4c40c81909f60aef0e1624c13 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:39 p.m.