Triple

T1139210
Position Surface form Disambiguated ID Type / Status
Subject Grand Duke Michael Alexandrovich of Russia E23409 entity
Predicate associatedWithPlace P2830 FINISHED
Object Gatchina E138901 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: Gatchina | Statement: [Grand Duke Michael Alexandrovich of Russia, associatedWithPlace, Gatchina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatchina
Context triple: [Grand Duke Michael Alexandrovich of Russia, associatedWithPlace, Gatchina]
  • A. Gatchina chosen
    Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
  • B. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • C. Petergof
    Petergof is a historic Russian town near Saint Petersburg, renowned for its grand imperial palaces, elaborate fountains, and landscaped parks along the Gulf of Finland.
  • D. Shlisselburg
    Shlisselburg is a historic Russian town near Saint Petersburg, best known for its strategic fortress and former political prison on Lake Ladoga.
  • E. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc27c88881909c64ec30b7f66575 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde0684e4819091720c985c317671 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:44 p.m.