Triple

T18308361
Position Surface form Disambiguated ID Type / Status
Subject Kirovsky District E438549 entity
Predicate traversedByRiver P165 FINISHED
Object Neva River NE NERFINISHED

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: Neva River | Statement: [Kirovsky District, traversedByRiver, Neva River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neva River
Context triple: [Kirovsky District, traversedByRiver, Neva River]
  • A. Neva River chosen
    The Neva River is a major waterway in northwestern Russia that flows through Saint Petersburg into the Gulf of Finland, playing a central role in the city's geography, history, and economy.
  • B. Neva
    Neva is a feminine given name of Latin origin meaning "snow," used in various cultures.
  • C. Moika River
    The Moika River is a small, historic waterway in central Saint Petersburg, Russia, lined with notable palaces and landmarks and forming part of the city’s iconic canal network.
  • D. Bolshaya Nevka
    Bolshaya Nevka is a major distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • E. Moyka River
    The Moyka River is a small, historic waterway flowing through central Saint Petersburg, lined with notable palaces, embankments, and cultural landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.