Triple

T25599364
Position Surface form Disambiguated ID Type / Status
Subject City Garden of Sofia E641742 entity
Predicate isPartOf P10 FINISHED
Object historic centre of Sofia
The historic centre of Sofia is the compact, oldest part of Bulgaria’s capital city, characterized by its layered Roman, medieval, Ottoman, and modern heritage, major public squares, and key cultural and governmental institutions.
E1686239 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: historic centre of Sofia | Statement: [City Garden of Sofia, isPartOf, historic centre of Sofia]
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: historic centre of Sofia
Triple: [City Garden of Sofia, isPartOf, historic centre of Sofia]
Generated description
The historic centre of Sofia is the compact, oldest part of Bulgaria’s capital city, characterized by its layered Roman, medieval, Ottoman, and modern heritage, major public squares, and key cultural and governmental institutions.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a53aa48190b935de0228cb5be3 completed May 2, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b7708fc08190bee8f889b590077a completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b84ad3ac8190b78bec4cd68a84e8 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b96e57f081908a75a191ce7bafce completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 4:30 p.m.