Triple

T22310447
Position Surface form Disambiguated ID Type / Status
Subject Petrovsky Palace E551496 entity
Predicate locatedNear P294 FINISHED
Object Petrovsky Park NE NERFINISHED

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: Petrovsky Park | Statement: [Petrovsky Palace, locatedNear, Petrovsky Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrovsky Park
Context triple: [Petrovsky Palace, locatedNear, Petrovsky Park]
  • A. Petrovsky Park chosen
    Petrovsky Park is a historic green space in Moscow known for its 19th-century Petrovsky Palace and proximity to major sports and cultural venues.
  • B. Shcherbakov Park
    Shcherbakov Park is a large recreational and cultural park in Donetsk, Ukraine, known for its scenic lakes, amusement attractions, and role as a central leisure spot for residents and visitors.
  • C. Zayeltsovsky Park
    Zayeltsovsky Park is a large forested urban park in Novosibirsk, Russia, known for its recreational areas, walking trails, and natural scenery along the Ob River.
  • D. Vorontsovsky Park
    Vorontsovsky Park is a historic landscaped public park in Moscow known for its picturesque ponds, old manor estate, and popular recreational areas.
  • E. Timiryazevsky Park
    Timiryazevsky Park is a large green urban park in Moscow known for its extensive woodlands, walking paths, and recreational areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574e7fc0819080e3e85001ab2c90 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.