Triple

T27801580
Position Surface form Disambiguated ID Type / Status
Subject Torri di Properzio E702257 entity
Predicate partOf P40 FINISHED
Object Roman walls of Spello
The Roman walls of Spello are a remarkably well-preserved ancient defensive circuit in Umbria, Italy, notable for their monumental gates and towers that once protected the Roman town of Hispellum.
E1788717 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: Roman walls of Spello | Statement: [Torri di Properzio, partOf, Roman walls of Spello]
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: Roman walls of Spello
Triple: [Torri di Properzio, partOf, Roman walls of Spello]
Generated description
The Roman walls of Spello are a remarkably well-preserved ancient defensive circuit in Umbria, Italy, notable for their monumental gates and towers that once protected the Roman town of Hispellum.

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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63836e3788190924b1f1f24d57081 completed May 2, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecd2c9308190a9f9d2f3d9f52c32 completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed68ab588190a2247672cc7818d8 completed May 24, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee55079881908070830187dedd6d completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 5:35 p.m.