Triple

T26684698
Position Surface form Disambiguated ID Type / Status
Subject Loo E672710 entity
Predicate partOf P40 FINISHED
Object Lazarevsky City District of Sochi
Lazarevsky City District of Sochi is a northern administrative district of the resort city of Sochi on Russia’s Black Sea coast, known for its seaside settlements, beaches, and proximity to the Caucasus Mountains.
E1761573 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: Lazarevsky City District of Sochi | Statement: [Loo, partOf, Lazarevsky City District of Sochi]
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: Lazarevsky City District of Sochi
Triple: [Loo, partOf, Lazarevsky City District of Sochi]
Generated description
Lazarevsky City District of Sochi is a northern administrative district of the resort city of Sochi on Russia’s Black Sea coast, known for its seaside settlements, beaches, and proximity to the Caucasus Mountains.

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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6173d46088190859dd8292d078771 completed May 2, 2026, 3:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12535bcc8c81908e44018fdd7941ac completed May 24, 2026, 1:24 a.m.
NEDg Description generation batch_6a1254e770288190994c682cfe0f8c9d completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12558ffcd08190b9a167ead908e052 completed May 24, 2026, 1:34 a.m.
Created at: April 27, 2026, 3:22 a.m.