Triple

T4333523
Position Surface form Disambiguated ID Type / Status
Subject Lucca E97408 entity
Predicate hasNotableSite P2462 FINISHED
Object Via Fillungo
Via Fillungo is the main historic shopping street in the walled Tuscan city of Lucca, known for its medieval buildings, boutiques, and lively atmosphere.
E431986 NE FINISHED

How this triple was built (4 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 Fillungo | Statement: [Lucca, hasNotableSite, Via Fillungo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Via Fillungo
Context triple: [Lucca, hasNotableSite, Via Fillungo]
  • A. Via
    Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
  • B. Tentanda Via
    Tentanda Via is the Latin motto of York University, commonly translated as "The way must be tried," expressing the institution’s emphasis on exploration, perseverance, and innovation.
  • C. Ghedi
    Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
  • D. Carril
    Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
  • E. Varedo
    Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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 Fillungo
Triple: [Lucca, hasNotableSite, Via Fillungo]
Generated description
Via Fillungo is the main historic shopping street in the walled Tuscan city of Lucca, known for its medieval buildings, boutiques, and lively atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Via Fillungo
Target entity description: Via Fillungo is the main historic shopping street in the walled Tuscan city of Lucca, known for its medieval buildings, boutiques, and lively atmosphere.
  • A. Via
    Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
  • B. Tentanda Via
    Tentanda Via is the Latin motto of York University, commonly translated as "The way must be tried," expressing the institution’s emphasis on exploration, perseverance, and innovation.
  • C. Ghedi
    Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
  • D. Carril
    Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
  • E. Varedo
    Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
  • F. None of above. chosen

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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514faaac819081475681fd10da24 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a634308190ba4d8c8dc07814ae completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d47416fc8190b8a177cbdcc23399 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4e5e24c8190980bc545ca0d339d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.