Triple

T14952129
Position Surface form Disambiguated ID Type / Status
Subject Vredenburg square E372820 entity
Predicate hasAdjacentBuilding P5707 FINISHED
Object TivoliVredenburg E59158 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: TivoliVredenburg | Statement: [Vredenburg square, hasAdjacentBuilding, TivoliVredenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TivoliVredenburg
Context triple: [Vredenburg square, hasAdjacentBuilding, TivoliVredenburg]
  • A. TivoliVredenburg chosen
    TivoliVredenburg is a large, modern music complex and cultural venue in Utrecht, Netherlands, known for its multiple concert halls and diverse live performances.
  • B. Tivoli
    Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
  • C. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • D. Tivoli
    Tivoli is a suburb within the city of Ipswich in Queensland, Australia, known for its residential character and proximity to the Bremer River.
  • E. Huis Ten Bosch
    Huis Ten Bosch is a Dutch-themed amusement park in Sasebo, Japan, featuring European-style architecture, canals, seasonal flower displays, and various attractions.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9a6098819087b6e81bebcf6805 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.