Triple

T20643004
Position Surface form Disambiguated ID Type / Status
Subject Centrum der Büro- und Informationstechnik E507277 entity
Predicate cityOfOrganizer P140887 FINISHED
Object Hanover NE NERFINISHED

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: [Centrum der Büro- und Informationstechnik, cityOfOrganizer, Hanover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanover
Context triple: [Centrum der Büro- und Informationstechnik, cityOfOrganizer, 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. Hanover
    Hanover is a surname most notably associated with Donna Hanover, an American journalist, actress, and former First Lady of New York City.
  • E. Hanover
    Hanover is a small town in South Africa, known as the birthplace of prominent trade unionist Zwelinzima Vavi.
  • 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: cityOfOrganizer
Context triple: [Centrum der Büro- und Informationstechnik, cityOfOrganizer, Hanover]
  • A. cityOfVenue
    Indicates the city in which a given venue is located.
  • B. conventionCity
    Indicates that a city is the location where a particular convention or conference is held.
  • C. organizerJurisdiction
    Indicates the jurisdiction or authority under which an organizer operates or is legally registered.
  • D. areOrganizedBy
    Indicates that one entity is responsible for planning, coordinating, or managing the structure or execution of another entity or event.
  • E. organizadoPor
    Indicates that something is arranged, managed, or coordinated by a particular agent or entity.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1c51f48190abba54a5aace9fc8 completed April 20, 2026, 10:56 p.m.
PD Predicate disambiguation batch_69e5c0315f5081908098707c6455e56e completed April 20, 2026, 5:57 a.m.
PDg Predicate description generation batch_69e5c3caef50819093c8159fe8d6435b completed April 20, 2026, 6:12 a.m.
Created at: April 16, 2026, 11:43 a.m.