Triple

T14361899
Position Surface form Disambiguated ID Type / Status
Subject Cascata di Tivoli E356123 entity
Predicate partOf P40 FINISHED
Object Tivoli landscape E356130 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 landscape | Statement: [Cascata di Tivoli, partOf, Tivoli landscape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tivoli landscape
Context triple: [Cascata di Tivoli, partOf, Tivoli landscape]
  • A. 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.
  • B. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • C. 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.
  • D. Tivoli plain chosen
    The Tivoli plain is a lowland area near the town of Tivoli in central Italy, known for its fertile terrain and historical significance in the Roman countryside.
  • E. TivoliVredenburg
    TivoliVredenburg is a large, modern music complex and cultural venue in Utrecht, Netherlands, known for its multiple concert halls and diverse live performances.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fabec088190bd8128371b29e958 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bbd7cb881908b33b3aae4243f2e completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:15 a.m.