Triple

T33868330
Position Surface form Disambiguated ID Type / Status
Subject Francesco Severi E868118 entity
Predicate notableWork P4 FINISHED
Object Trattato di geometria algebrica
Trattato di geometria algebrica is a foundational early 20th-century treatise on algebraic geometry authored by Italian mathematician Francesco Severi.
E1650581 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: Trattato di geometria algebrica | Statement: [Francesco Severi, notableWork, Trattato di geometria algebrica]
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: Trattato di geometria algebrica
Triple: [Francesco Severi, notableWork, Trattato di geometria algebrica]
Generated description
Trattato di geometria algebrica is a foundational early 20th-century treatise on algebraic geometry authored by Italian mathematician Francesco Severi.

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_69f34995029081909ede0f7df73d1a5e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f700a4c7148190b03b64c27289043d completed May 3, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36762441b881909c3762d37a6cc0f4 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676be2fe08190874d142c73ccfdda completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a367b004a148190ad6a809ff15a4165 completed June 20, 2026, 11:35 a.m.
Created at: May 1, 2026, 1:47 a.m.