Triple

T19425739
Position Surface form Disambiguated ID Type / Status
Subject Annexation of Hanover by Prussia E485974 entity
Predicate statusOfHanoverAfterEvent P135841 FINISHED
Object Prussian province 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: Prussian province | Statement: [Annexation of Hanover by Prussia, statusOfHanoverAfterEvent, Prussian province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusOfHanoverAfterEvent
Context triple: [Annexation of Hanover by Prussia, statusOfHanoverAfterEvent, Prussian province]
  • A. statusDuringAnschluss
    Indicates the status or condition of an entity specifically during the period of the Anschluss (the annexation of Austria by Nazi Germany in 1938).
  • B. handledAftermathOf
    Indicates that one entity took responsibility for dealing with the consequences or fallout that occurred after another entity’s actions or events.
  • C. capitalAfterEvent
    Indicates that a location became the capital of a political or administrative entity as a result of, or following, a specific event.
  • D. statusAfter1569
    Indicates the status or condition an entity has after the year 1569, typically contrasting it with its prior status.
  • E. statusAfter1918
    Indicates the status or condition of an entity as it existed after the year 1918.
  • F. None of above. chosen

Provenance (4 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63218772c8190a48b6cb01bd12b73 completed April 20, 2026, 2:03 p.m.
PD Predicate disambiguation batch_69e4fd68b1f881908d273de1fee81a75 completed April 19, 2026, 4:06 p.m.
PDg Predicate description generation batch_69e5004c23308190a087b7941a90725f completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:37 p.m.