Triple

T14758322
Position Surface form Disambiguated ID Type / Status
Subject Pushkinsky District E346788 entity
Predicate hasHeritageSite P923 FINISHED
Object Catherine Park E66674 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: Catherine Park | Statement: [Pushkinsky District, hasHeritageSite, Catherine Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Park
Context triple: [Pushkinsky District, hasHeritageSite, Catherine Park]
  • A. Catherine Park chosen
    Catherine Park is a historic landscaped park in Tsarskoye Selo, Russia, renowned for its ornamental gardens, pavilions, and integration with the nearby Catherine Palace.
  • B. Rose Larisa Park
    Rose Larisa Park is a public recreational park in Riverside known for its scenic green spaces and community amenities.
  • C. Lucy Park
    Lucy Park is a large riverside public park in Wichita Falls, Texas, known for its trails, playgrounds, and recreational facilities.
  • D. Ariana Park
    Ariana Park is a large lakeside park in Geneva, Switzerland, best known as the landscaped grounds surrounding the United Nations' Palais des Nations.
  • E. Hanna Park
    Hanna Park is a public recreational park located in Shelby, North Carolina.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.