Triple

T13412833
Position Surface form Disambiguated ID Type / Status
Subject Serebryano-Prudsky District E320131 entity
Predicate administrativeCenterOf P383 FINISHED
Object Serebryanye Prudy E79409 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: Serebryanye Prudy | Statement: [Serebryano-Prudsky District, administrativeCenterOf, Serebryanye Prudy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serebryanye Prudy
Context triple: [Serebryano-Prudsky District, administrativeCenterOf, Serebryanye Prudy]
  • A. Serebryanye Prudy chosen
    Serebryanye Prudy is a rural locality in Moscow Oblast, Russia, historically notable as the birthplace of Soviet Marshal Vasily Chuikov.
  • B. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • C. Onega River
    The Onega River is a major river in northwestern Russia that flows through the Karelia region before emptying into the White Sea.
  • D. Novorybnaya
    Novorybnaya is a small rural settlement located along the Khatanga River in the remote Arctic region of northern Siberia, Russia.
  • E. Biysk
    Biysk is a historic industrial city in southwestern Siberia, Russia, situated on the Biya River and serving as a key gateway to the Altai Mountains.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c288c08190af46fe7d114df338 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:35 p.m.