Triple

T35101766
Position Surface form Disambiguated ID Type / Status
Subject Oberhaus E1013037 entity
Predicate historicalEquivalentOf P152886 FINISHED
Object Erste Kammer NE NERFINISHED

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: Erste Kammer | Statement: [Oberhaus, historicalEquivalentOf, Erste Kammer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalEquivalentOf
Context triple: [Oberhaus, historicalEquivalentOf, Erste Kammer]
  • A. historicallyBorneBy
    Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
  • B. historicalTermFor chosen
    Indicates that one term was historically used to refer to, describe, or name the other entity in an earlier time or context.
  • C. historicallyRecognizedAs
    Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
  • D. historicalPeg
    Indicates a relationship where one entity’s value, status, or definition was formerly fixed or tied to another entity in the past.
  • E. historicalConcept
    Indicates that something represents, embodies, or is recognized as a concept, idea, or notion rooted in or primarily relevant to a past historical context.
  • 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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a00a22e32f481909b6006c5b1cdefd3 completed May 10, 2026, 3:20 p.m.
PD Predicate disambiguation batch_6a00a1bd9c908190b4aa17a61f48126f completed May 10, 2026, 3:18 p.m.
Created at: May 3, 2026, 4:01 p.m.