Triple

T36667021
Position Surface form Disambiguated ID Type / Status
Subject Francesco di Giorgio Martini E905292 entity
Predicate notableProject P4 FINISHED
Object fortifications of Urbino
The fortifications of Urbino are a renowned system of Renaissance-era defensive works in the Italian city of Urbino, celebrated for their innovative military engineering and integration with the surrounding urban landscape.
E2193351 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: fortifications of Urbino | Statement: [Francesco di Giorgio Martini, notableProject, fortifications of Urbino]
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: fortifications of Urbino
Triple: [Francesco di Giorgio Martini, notableProject, fortifications of Urbino]
Generated description
The fortifications of Urbino are a renowned system of Renaissance-era defensive works in the Italian city of Urbino, celebrated for their innovative military engineering and integration with the surrounding urban landscape.

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_69f76e6f10008190aea41746aa1b186e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c780ecd0819080da2a286bf91257 completed May 3, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20d654fc81908216ac9680f56464 completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a21d045cc81908d61119fb621f7b6 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a225b99788190bafbd7ccb4a652b9 completed June 23, 2026, 6:06 a.m.
Created at: May 3, 2026, 4:12 p.m.