Triple

T29542828
Position Surface form Disambiguated ID Type / Status
Subject Odesa city center ensemble E749548 entity
Predicate hasPart P35 FINISHED
Object Rishelievska Street
Rishelievska Street is a historic central thoroughfare in Odesa, Ukraine, known for its 19th-century architecture, cultural institutions, and role as a key axis of the city’s urban life.
 E1980005 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: Rishelievska Street | Statement: [Odesa city center ensemble, hasPart, Rishelievska Street]
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: Rishelievska Street
Triple: [Odesa city center ensemble, hasPart, Rishelievska Street]
Generated description
Rishelievska Street is a historic central thoroughfare in Odesa, Ukraine, known for its 19th-century architecture, cultural institutions, and role as a key axis of the city’s urban life.

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_69f0bd48691081908cecad39bac591e0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66cf092c881908d7034c9c2bc61d5 completed May 2, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2e6573f7fc8190b1274f68330ba9fe completed June 14, 2026, 8:25 a.m.
NEDg Description generation batch_6a2e683bd288819086bf1c1fcb5f0a14 completed June 14, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_6a2e68b5da1c8190ade01a2db920bf90 completed June 14, 2026, 8:39 a.m.
Created at: April 28, 2026, 5:04 p.m.