Triple

T3910945
Position Surface form Disambiguated ID Type / Status
Subject Valkhof Museum E87319 entity
Predicate locatedOn P40 FINISHED
Object Valkhof park E346162 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: Valkhof park | Statement: [Valkhof Museum, locatedOn, Valkhof park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valkhof park
Context triple: [Valkhof Museum, locatedOn, Valkhof park]
  • A. Valkhof Park chosen
    Valkhof Park is a historic public park in Nijmegen, Netherlands, known for its scenic setting overlooking the Waal River and its proximity to ancient Roman and medieval ruins.
  • B. Gellert Park
    Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
  • C. Stadtpark
    Stadtpark is a large, historic public park in central Vienna, Austria, known for its landscaped gardens and famous monuments such as the Johann Strauss II statue.
  • D. U Kleistpark
    U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
  • E. Schillerpark
    Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed3408f881908c3cffc5dbfe3950 completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb454c48190bf47d080f6cc24f0 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.