Triple

T14758305
Position Surface form Disambiguated ID Type / Status
Subject Pushkinsky District E346788 entity
Predicate contains P35 FINISHED
Object Pavlovsk E233354 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: Pavlovsk | Statement: [Pushkinsky District, contains, Pavlovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavlovsk
Context triple: [Pushkinsky District, contains, Pavlovsk]
  • A. Pavlovsk
    Pavlovsk is a town in southwestern Russia known as a local administrative and cultural center within Voronezh Oblast.
  • B. Pavlovsk chosen
    Pavlovsk is a historic Russian town near Saint Petersburg, best known for its imperial palace and landscaped park that exemplify neoclassical architecture and design.
  • C. Pavlovsk Park
    Pavlovsk Park is a vast 18th-century landscaped park near St. Petersburg, Russia, renowned for its picturesque scenery, classical pavilions, and association with the Pavlovsk Palace.
  • D. Mikhaylovskoye
    Mikhaylovskoye is a rural estate and museum complex in Russia best known as the family estate and place of exile of the poet Alexander Pushkin.
  • E. 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.
  • 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_69fe24afff788190ab4925ead7ce90d2 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.