Triple

T7973904
Position Surface form Disambiguated ID Type / Status
Subject Vasilievsky Island spit E185394 entity
Predicate waterBody P1778 FINISHED
Object Malaya Neva E60916 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: Malaya Neva | Statement: [Vasilievsky Island spit, waterBody, Malaya Neva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaya Neva
Context triple: [Vasilievsky Island spit, waterBody, Malaya Neva]
  • A. Malaya Nevka chosen
    Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • B. Miloslavskaya
    Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
  • C. Navalnaya
    Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
  • D. Novik
    Novik is a surname most prominently associated with Naomi Novik, the American fantasy author known for works such as the Temeraire series and "Uprooted."
  • E. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0bb089881909d3ec17a3330ce25 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:14 p.m.