Triple

T37446658
Position Surface form Disambiguated ID Type / Status
Subject Palace of Justice of Milan E930567 entity
Predicate architect P184 FINISHED
Object Marcello Piacentini
Marcello Piacentini was a prominent 20th-century Italian architect and urban planner known for his monumental, rationalist works closely associated with the architecture of Fascist Italy.
E2229729 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: Marcello Piacentini | Statement: [Palace of Justice of Milan, architect, Marcello Piacentini]
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: Marcello Piacentini
Triple: [Palace of Justice of Milan, architect, Marcello Piacentini]
Generated description
Marcello Piacentini was a prominent 20th-century Italian architect and urban planner known for his monumental, rationalist works closely associated with the architecture of Fascist Italy.

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_69f76ec0b9488190b7a4fae632bd1d2f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e03e2f481908792f30b9537f982 completed May 6, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408c2c6cc881909f28d3068b54502f completed June 28, 2026, 2:51 a.m.
NEDg Description generation batch_6a408ff708308190b50985d115db89ce completed June 28, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a409022b44481909d5b42f1cdac9d78 completed June 28, 2026, 3:08 a.m.
Created at: May 3, 2026, 4:17 p.m.