Triple

T16509059
Position Surface form Disambiguated ID Type / Status
Subject Kovrov Mechanical Plant E401006 entity
Predicate namedAfter P63 FINISHED
Object city of Kovrov E527440 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: city of Kovrov | Statement: [Kovrov Mechanical Plant, namedAfter, city of Kovrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Kovrov
Context triple: [Kovrov Mechanical Plant, namedAfter, city of Kovrov]
  • A. city of Tutaev
    The city of Tutaev is a historic town on the Volga River in central Russia, known for its preserved old architecture and role as a cultural center within Yaroslavl Oblast.
  • B. Kovrov chosen
    Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
  • C. city of Gavrilov-Yam
    The city of Gavrilov-Yam is a small industrial and cultural center in central Russia, known historically for its textile and yarn production.
  • D. city of Uglich
    The city of Uglich is a historic town in Russia known for its medieval architecture and its role in the events surrounding the death of Tsarevich Dmitry, a key episode in Russian history.
  • E. city of Chusovoy
    The city of Chusovoy is an industrial town in Perm Krai, Russia, historically developed around metallurgy and situated in the Ural region.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54331c8190b3c4f9de95cbbc5e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005832bcb48190a905ee7c9bff2c5b completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.