Triple

T9719453
Position Surface form Disambiguated ID Type / Status
Subject Amusement Field E235425 entity
Predicate adjacentTo P224 FINISHED
Object Moyka River E32085 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: Moyka River | Statement: [Amusement Field, adjacentTo, Moyka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moyka River
Context triple: [Amusement Field, adjacentTo, Moyka River]
  • A. Yauza River
    The Yauza River is a small river in Moscow, Russia, that flows through the city’s northeastern districts before joining the Moskva River.
  • B. Moskva River
    The Moskva River is a major waterway in western Russia that flows through and gives its name to the capital city, Moscow.
  • C. Fontanka River
    The Fontanka River is a major distributary of the Neva in Saint Petersburg, Russia, known for its historic embankments, bridges, and role in defining the city’s central layout.
  • D. Okhta River
    The Okhta River is a tributary waterway in northwestern Russia that flows through Saint Petersburg before joining the Neva River.
  • E. Moika River chosen
    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.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e4022c4819097455f14dd9b1a77 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d25753fec48190927e8d96efd2df54 completed April 5, 2026, 12:36 p.m.
Created at: March 30, 2026, 8:20 p.m.