Triple

T27454217
Position Surface form Disambiguated ID Type / Status
Subject Georgy Sviridov E692538 entity
Predicate burialPlace P196 FINISHED
Object Nikolskoye Cemetery, Alexander Nevsky Lavra
Nikolskoye Cemetery at the Alexander Nevsky Lavra in Saint Petersburg is a historic Russian Orthodox burial ground known for being the resting place of many notable cultural and public figures.
 E1771910 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: Nikolskoye Cemetery, Alexander Nevsky Lavra | Statement: [Georgy Sviridov, burialPlace, Nikolskoye Cemetery, Alexander Nevsky Lavra]
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: Nikolskoye Cemetery, Alexander Nevsky Lavra
Triple: [Georgy Sviridov, burialPlace, Nikolskoye Cemetery, Alexander Nevsky Lavra]
Generated description
Nikolskoye Cemetery at the Alexander Nevsky Lavra in Saint Petersburg is a historic Russian Orthodox burial ground known for being the resting place of many notable cultural and public figures.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc89bfc81909987840a660f709f completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b260e6f481909076075270653c1c completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b32353248190ac509d73a9910602 completed May 24, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a12b3c695a0819099113dba54710362 completed May 24, 2026, 8:16 a.m.
Created at: April 27, 2026, 12:48 p.m.