Triple

T7276173
Position Surface form Disambiguated ID Type / Status
Subject Princess of Hanover E163032 entity
Predicate seatOfDynasty P42447 FINISHED
Object Hanover E21642 NE FINISHED

How this triple was built (3 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: Hanover | Statement: [Princess of Hanover, seatOfDynasty, Hanover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanover
Context triple: [Princess of Hanover, seatOfDynasty, Hanover]
  • A. Hanover chosen
    Hanover is a historic city in northern Germany that served as the capital of the former Kingdom of Hanover and the ancestral seat of the British House of Hanover.
  • B. Hanover
    Hanover is a small New Hampshire town best known as the home of Dartmouth College, an Ivy League institution.
  • C. Hanover
    Hanover is a small suburban town in Plymouth County, Massachusetts, known for its residential character and local businesses south of Boston.
  • D. Hamburg
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • E. Braunschweig
    Braunschweig is a historic city in northern Germany known for its medieval architecture, cultural institutions, and role as an important economic and scientific center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatOfDynasty
Context triple: [Princess of Hanover, seatOfDynasty, Hanover]
  • A. dynasticSeat chosen
    Indicates that a particular location serves as the principal seat of power or ruling center for a specific dynasty or ruling family.
  • B. ancestralSeatOf
    Indicates that one entity is the traditional or original home, origin place, or foundational location associated with the lineage, heritage, or authority of another entity.
  • C. hasPhysicalThrone
    Indicates that an entity possesses or is associated with a tangible, physical throne as an object.
  • D. containsSeatOfMonarchy
    Indicates that a place or region includes within its boundaries the official seat or residence of a monarchy’s ruling authority.
  • E. palace
    Indicates that an entity is a palace, i.e., a grand official residence typically used by royalty or high-ranking authorities.
  • F. None of above.

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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2c76fc81909632c7ee4e54f81c completed March 28, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69c6e76a84a081908d4184c55b728e48 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:59 p.m.