Triple

T4182298
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg Oblast E88221 entity
Predicate contains P35 FINISHED
Object Shlisselburg E66575 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: Shlisselburg | Statement: [Saint Petersburg Oblast, contains, Shlisselburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shlisselburg
Context triple: [Saint Petersburg Oblast, contains, Shlisselburg]
  • A. Shlisselburg chosen
    Shlisselburg is a historic Russian town near Saint Petersburg, best known for its strategic fortress and former political prison on Lake Ladoga.
  • B. Staraya Russa
    Staraya Russa is a historic town in northwestern Russia known for its medieval heritage and mineral spa resorts.
  • C. Simbirsk fortress
    Simbirsk fortress was a 17th-century Russian defensive stronghold on the Volga River that served as the military and administrative core around which the city of Simbirsk (now Ulyanovsk) developed.
  • D. Gatchina
    Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
  • E. City of Pskov
    The City of Pskov is a historic Russian city near the Estonian border, renowned for its medieval kremlin, ancient churches, and role as a major fortress and trading center in northwestern Russia.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0305e2e88190a51f176f8534f1f9 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fbcc5881908f245bb377082dcc completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.