Triple

T5263660
Position Surface form Disambiguated ID Type / Status
Subject CeBIT E118886 entity
Predicate venue P373 FINISHED
Object Hanover Fairground E507275 NE 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: Hanover Fairground | Statement: [CeBIT, venue, Hanover Fairground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanover Fairground
Context triple: [CeBIT, venue, Hanover Fairground]
  • A. Hannover Fairground chosen
    Hannover Fairground is one of the world’s largest and most advanced exhibition complexes, renowned for hosting major international trade fairs and industrial technology events.
  • B. Carlisle Circus
    Carlisle Circus is a major road junction and traffic roundabout in north Belfast, Northern Ireland.
  • C. Hulton Park
    Hulton Park was a historic landed estate in Lancashire, England, long associated with the Hulton family and their coal-mining interests.
  • D. Newcastle Showground
    Newcastle Showground is a multi-purpose events and exhibition venue in the Newcastle suburb of Broadmeadow, New South Wales, known for hosting agricultural shows, festivals, and sporting events.
  • E. Astley Park
    Astley Park is a historic public park in Chorley, Lancashire, known for its landscaped grounds, woodland, and the Grade I listed Astley Hall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd2eff4819087420e30c140e6f6 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c71d308190a42a2da51b4cf93e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.