Triple

T28471128
Position Surface form Disambiguated ID Type / Status
Subject Ancient Plovdiv Architectural Reserve E720438 entity
Predicate contains P35 FINISHED
Object Balabanov House
Balabanov House is a prominent 19th-century Revival-era mansion and cultural landmark in Plovdiv, Bulgaria, known for its preserved architecture and role as a museum and arts venue.
E1824007 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: Balabanov House | Statement: [Ancient Plovdiv Architectural Reserve, contains, Balabanov House]
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: Balabanov House
Triple: [Ancient Plovdiv Architectural Reserve, contains, Balabanov House]
Generated description
Balabanov House is a prominent 19th-century Revival-era mansion and cultural landmark in Plovdiv, Bulgaria, known for its preserved architecture and role as a museum and arts venue.

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_69f01a5983f48190b7c1b8857245a4f7 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64ee1c4d08190ba95b02f3aa0ca67 completed May 2, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb6d4dfc481908ca046fe14d07c39 completed May 31, 2026, 10:31 p.m.
NEDg Description generation batch_6a1cb979fe68819093821cca5753b224 completed May 31, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1cb9d599bc819089974b54e9fe8c64 completed May 31, 2026, 10:44 p.m.
Created at: April 28, 2026, 2:48 a.m.