Triple

T5197071
Position Surface form Disambiguated ID Type / Status
Subject Viry-Châtillon E117300 entity
Predicate hasTwinTown P919 FINISHED
Object Piossasco
Piossasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
E507321 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: Piossasco | Statement: [Viry-Châtillon, hasTwinTown, Piossasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piossasco
Context triple: [Viry-Châtillon, hasTwinTown, Piossasco]
  • A. Pinerolo
    Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
  • B. Chieri
    Chieri is a historic town and comune in the Piedmont region of northwestern Italy, known for its medieval architecture and proximity to the city of Turin.
  • C. Moncalieri
    Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
  • D. Rivarolo Canavese
    Rivarolo Canavese is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and location in the Canavese area near Turin.
  • E. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • 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: Piossasco
Triple: [Viry-Châtillon, hasTwinTown, Piossasco]
Generated description
Piossasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piossasco
Target entity description: Piossasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • A. Pinerolo
    Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
  • B. Chieri
    Chieri is a historic town and comune in the Piedmont region of northwestern Italy, known for its medieval architecture and proximity to the city of Turin.
  • C. Moncalieri
    Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
  • D. Rivarolo Canavese
    Rivarolo Canavese is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and location in the Canavese area near Turin.
  • E. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1dbf7881909ed596ffdd1219bb completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe58344881908386713f2cf5749b completed March 21, 2026, 8:23 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:46 p.m.