Triple

T743689
Position Surface form Disambiguated ID Type / Status
Subject Palace of the Nation E15295 entity
Predicate faces P1699 FINISHED
Object Brussels Park E44498 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: Brussels Park | Statement: [Palace of the Nation, faces, Brussels Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brussels Park
Context triple: [Palace of the Nation, faces, Brussels Park]
  • A. Brussels Park chosen
    Brussels Park is a historic public garden in central Brussels, Belgium, known for its formal layout, statues, and role as a major green space between key royal and governmental buildings.
  • B. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • C. Kollen Park
    Kollen Park is a popular waterfront public park in Holland, Michigan, known for its scenic views of Lake Macatawa, walking paths, and community events.
  • D. Turnure Park
    Turnure Park is a public neighborhood park in White Plains, New York, offering green space, playgrounds, and recreational areas for local residents.
  • E. Rudolph-Wilde-Park
    Rudolph-Wilde-Park is a historic urban park in Berlin’s Schöneberg district, known for its expansive green spaces, ponds, and proximity to the Rathaus Schöneberg town hall.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a610ba9881908b4e5e7dcc6ed0f5 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e4086e481908d0ea29729d92d67 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.