Triple

T33359338
Position Surface form Disambiguated ID Type / Status
Subject Yakimanka District E854169 entity
Predicate hasStreet P959 FINISHED
Object Leninsky Prospekt (northern segment)
Leninsky Prospekt (northern segment) is a major radial avenue in central Moscow that extends from the city center toward the southwest, serving as an important transport and urban thoroughfare.
E2282920 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: Leninsky Prospekt (northern segment) | Statement: [Yakimanka District, hasStreet, Leninsky Prospekt (northern segment)]
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: Leninsky Prospekt (northern segment)
Triple: [Yakimanka District, hasStreet, Leninsky Prospekt (northern segment)]
Generated description
Leninsky Prospekt (northern segment) is a major radial avenue in central Moscow that extends from the city center toward the southwest, serving as an important transport and urban thoroughfare.

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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6dfa7e1a8819097eb51f3eb8a398b completed May 3, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a42340fbe1481908fb48d9edb9ad263 completed June 29, 2026, 8:59 a.m.
NEDg Description generation batch_6a4234f7ba548190a27b293b124fa47d completed June 29, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a4235f117cc8190888e3c87f59ab3dc completed June 29, 2026, 9:08 a.m.
Created at: May 1, 2026, 1:34 a.m.