Triple

T31759897
Position Surface form Disambiguated ID Type / Status
Subject County of Breuberg E810650 entity
Predicate hasModernCountrySuccessor P138136 FINISHED
Object Germany 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: Germany | Statement: [County of Breuberg, hasModernCountrySuccessor, Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModernCountrySuccessor
Context triple: [County of Breuberg, hasModernCountrySuccessor, Germany]
  • A. currentCountryOfSuccessor
    Indicates the country in which a given successor (e.g., to a position, title, or role) is currently serving or recognized.
  • B. historicalSuccessorInNationStateContext
    Indicates that one political entity directly follows another as its successor within the historical continuity of a nation-state.
  • C. countryAfterSuccession
    Indicates that one country is the successor state that takes over from another country after a political or territorial succession.
  • D. historicallyAssociatedWithModernCountry chosen
    Indicates that an entity has a significant historical connection, influence, or origin related to a specified modern country.
  • E. countryPredecessor
    Indicates that one country existed before and was succeeded or replaced by another country in a historical or political sense.
  • 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fdf5d05cc481909ec9e1b1f0784279 completed May 8, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69fdf0cdd6948190838864ab3120dfa6 completed May 8, 2026, 2:18 p.m.
Created at: April 30, 2026, 11:30 p.m.