Triple

T24877149
Position Surface form Disambiguated ID Type / Status
Subject Sevmash E622600 entity
Predicate abbreviationOf P590 FINISHED
Object Severnoye Mashinostroitelnoye Predpriyatie
Severnoye Mashinostroitelnoye Predpriyatie, commonly known as Sevmash, is Russia’s largest shipbuilding enterprise, best known for constructing nuclear submarines and other major naval vessels.
E1657255 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: Severnoye Mashinostroitelnoye Predpriyatie | Statement: [Sevmash, abbreviationOf, Severnoye Mashinostroitelnoye Predpriyatie]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Severnoye Mashinostroitelnoye Predpriyatie
Triple: [Sevmash, abbreviationOf, Severnoye Mashinostroitelnoye Predpriyatie]
Generated description
Severnoye Mashinostroitelnoye Predpriyatie, commonly known as Sevmash, is Russia’s largest shipbuilding enterprise, best known for constructing nuclear submarines and other major naval vessels.

Provenance (5 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_69e2fac3fdbc81909c2ec49be5743cd9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4231fef4881908eaaa470b19af1ce completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10331d18308190bbb28e4007df7564 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034cf890881908bd25523cdb83586 completed May 22, 2026, 10:49 a.m.
Created at: April 18, 2026, 5:24 a.m.