Triple

T30831256

Position	Surface form	Disambiguated ID	Type / Status
Subject	Valtiberina Toscana	`E785224`	entity
Predicate	culturalRoute	`P34131`	FINISHED
Object	Via di Francesco Via di Francesco is a historic pilgrimage route in central Italy that follows in the footsteps of Saint Francis of Assisi, connecting key Franciscan sites through the Tuscan and Umbrian countryside.	`E1934307`	NE FINISHED

How this triple was built (3 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: Via di Francesco | Statement: [Valtiberina Toscana, culturalRoute, Via di Francesco]

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: Via di Francesco
Triple: [Valtiberina Toscana, culturalRoute, Via di Francesco]

Generated description

Via di Francesco is a historic pilgrimage route in central Italy that follows in the footsteps of Saint Francis of Assisi, connecting key Franciscan sites through the Tuscan and Umbrian countryside.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: culturalRoute
Context triple: [Valtiberina Toscana, culturalRoute, Via di Francesco]

A. hasCulturalRoute chosen
Indicates that one entity is connected to another by a designated cultural route, such as a path, itinerary, or network highlighting cultural heritage or traditions.
B. nearCulturalRoute
Indicates that one entity is located close to a designated cultural route or pathway.
C. culturalGroupsAlongRoute
Indicates the cultural groups that are present or encountered along a specified route.
D. culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
E. culturalInterest
Indicates a relationship where one entity has an interest in, appreciation for, or engagement with the culture, traditions, or cultural expressions associated with another entity.
F. None of above.

Provenance (6 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_69f224b73d8c81908129383bfb397c87`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f7516d5b4081908588a6feb541f355`	completed	May 3, 2026, 1:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a28bbed7c0481909331362c3142870d`	completed	June 10, 2026, 1:20 a.m.
NEDg	Description generation	`batch_6a28bfdbfe988190b9ca4cac27d2ac36`	completed	June 10, 2026, 1:37 a.m.
NED2	Entity disambiguation (via description)	`batch_6a28c06caab88190b395799d9c373569`	completed	June 10, 2026, 1:39 a.m.
PD	Predicate disambiguation	`batch_69f74d40ebb081909daf60623e38f41d`	completed	May 3, 2026, 1:27 p.m.

Created at: April 29, 2026, 8:44 p.m.