Triple

T29848818
Position Surface form Disambiguated ID Type / Status
Subject Piazza Paolo VI E758005 entity
Predicate hasPart P35 FINISHED
Object Palazzo del Broletto
Palazzo del Broletto is a historic civic palace in Brescia, Italy, notable as a medieval seat of local government and a prominent architectural landmark on Piazza Paolo VI.
E1889667 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: Palazzo del Broletto | Statement: [Piazza Paolo VI, hasPart, Palazzo del Broletto]
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: Palazzo del Broletto
Triple: [Piazza Paolo VI, hasPart, Palazzo del Broletto]
Generated description
Palazzo del Broletto is a historic civic palace in Brescia, Italy, notable as a medieval seat of local government and a prominent architectural landmark on Piazza Paolo VI.

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_69f2245a82cc8190a387e7d0118d710b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f676460ab48190846671315930e418 completed May 2, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1c343f481909356a0701d58544b completed June 8, 2026, 4:45 p.m.
NEDg Description generation batch_6a26f3db3c4c8190afee1a0b06ade0fd completed June 8, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a26f46b6b048190ae3168913b1b1ce8 completed June 8, 2026, 4:57 p.m.
Created at: April 29, 2026, 5:43 p.m.