Triple

T24133306
Position Surface form Disambiguated ID Type / Status
Subject César Cui E598011 entity
Predicate educatedAt P5 FINISHED
Object Main Engineering School (Saint Petersburg)
Main Engineering School (Saint Petersburg) was a prominent Russian imperial military engineering academy in Saint Petersburg that trained officers and engineers, including notable figures such as composer and military engineer César Cui.
E1622626 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: Main Engineering School (Saint Petersburg) | Statement: [César Cui, educatedAt, Main Engineering School (Saint Petersburg)]
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: Main Engineering School (Saint Petersburg)
Triple: [César Cui, educatedAt, Main Engineering School (Saint Petersburg)]
Generated description
Main Engineering School (Saint Petersburg) was a prominent Russian imperial military engineering academy in Saint Petersburg that trained officers and engineers, including notable figures such as composer and military engineer César Cui.

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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df79bfd08190970ed1b3f14ebc8b completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad1f810881909a820e56ec13b58c completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae6318c8819099bf0565a01b5312 completed May 22, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0faefcb9048190abf1ccd608f1b607 completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 11:26 p.m.