Triple

T14037892
Position Surface form Disambiguated ID Type / Status
Subject Lomonosov E337760 entity
Predicate hasPark P105 FINISHED
Object Oranienbaum park E856596 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: Oranienbaum park | Statement: [Lomonosov, hasPark, Oranienbaum park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oranienbaum park
Context triple: [Lomonosov, hasPark, Oranienbaum park]
  • A. Gatchina Park
    Gatchina Park is a historic landscaped park in Gatchina, Russia, surrounding the former imperial residence and known for its picturesque lakes, pavilions, and romantic scenery.
  • B. Yauza Park
    Yauza Park is a recreational green space located along the Yauza River, offering walking paths, natural scenery, and outdoor leisure areas for visitors.
  • C. Oranienbaum chosen
    Oranienbaum is a historic town in Saxony-Anhalt, Germany, known for its baroque palace and park landscape that form part of the UNESCO-listed Dessau-Wörlitz Garden Realm.
  • D. Mariinskyi Park
    Mariinskyi Park is a historic public park in central Kyiv, Ukraine, known for its scenic landscapes, political landmarks, and proximity to key government buildings.
  • E. Izmailovsky Park
    Izmailovsky Park is one of Moscow’s largest historic parks, known for its expansive woodlands, recreational areas, and proximity to the Izmailovo Kremlin and flea market.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd099b7788190a7c309dba450e58f completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.