Triple

T27381929
Position Surface form Disambiguated ID Type / Status
Subject Simbirsk Governorate E691252 entity
Predicate predecessor P97 FINISHED
Object Simbirsk Viceroyalty
Simbirsk Viceroyalty was an administrative division of the Russian Empire in the late 18th century, centered on the city of Simbirsk (now Ulyanovsk) along the Volga River.
E691252 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: Simbirsk Viceroyalty | Statement: [Simbirsk Governorate, predecessor, Simbirsk Viceroyalty]
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: Simbirsk Viceroyalty
Triple: [Simbirsk Governorate, predecessor, Simbirsk Viceroyalty]
Generated description
Simbirsk Viceroyalty was an administrative division of the Russian Empire in the late 18th century, centered on the city of Simbirsk (now Ulyanovsk) along the Volga River.

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_69ef52022538819081f873d0c84a6dd6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c87eb3c8190bf418d88c19819ba completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13032926d48190ad2f851cdae80388 completed May 24, 2026, 1:54 p.m.
NEDg Description generation batch_6a1304a7f1788190ba6b3e5bba2404a3 completed May 24, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_6a13057d68408190bb5e5855121f5195 completed May 24, 2026, 2:04 p.m.
Created at: April 27, 2026, 12:23 p.m.