Triple

T2811421
Position Surface form Disambiguated ID Type / Status
Subject Festival Oude Muziek Utrecht E54178 entity
Predicate usesVenue P373 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: [Festival Oude Muziek Utrecht, usesVenue, TivoliVredenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TivoliVredenburg
Context triple: [Festival Oude Muziek Utrecht, usesVenue, 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 Park
    Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
  • E. Tivoli Gardens
    Tivoli Gardens is a historic amusement park and pleasure garden in central Copenhagen, renowned for its charming rides, landscaped gardens, and cultural events.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde354a5881908cd3d545f7dda81c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8aecd5081909b38d229904e5bde completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:59 p.m.