Triple

T14644233
Position Surface form Disambiguated ID Type / Status
Subject Imperial Palace (Hadrian’s Villa) E343803 entity
Predicate locatedIn P40 FINISHED
Object Tivoli E88741 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: Tivoli | Statement: [Imperial Palace (Hadrian’s Villa), locatedIn, Tivoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tivoli
Context triple: [Imperial Palace (Hadrian’s Villa), locatedIn, Tivoli]
  • A. Tivoli chosen
    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.
  • B. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • C. Tivoli
    Tivoli is a suburb within the city of Ipswich in Queensland, Australia, known for its residential character and proximity to the Bremer River.
  • D. TivoliVredenburg
    TivoliVredenburg is a large, modern music complex and cultural venue in Utrecht, Netherlands, known for its multiple concert halls and diverse live performances.
  • E. Schmidt Tivoli
    Schmidt Tivoli is a well-known theater and cabaret venue in Hamburg, Germany, famed for its variety shows and musical productions.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d5d05481908dbb23392c05d23b completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.