Triple

T12129196
Position Surface form Disambiguated ID Type / Status
Subject Utrecht E288888 entity
Predicate hasLandmark P105 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: [Utrecht, hasLandmark, TivoliVredenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TivoliVredenburg
Context triple: [Utrecht, hasLandmark, 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. 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.
  • E. Christoffelpark
    Christoffelpark is the largest national park on Curaçao, known for its rugged landscapes, diverse wildlife, and popular hiking trails including the climb to Mount Christoffel.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b83c15081908d2ed4c6d2e7534b completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:49 p.m.