Triple

T9398253
Position Surface form Disambiguated ID Type / Status
Subject Province of Cremona E226400 entity
Predicate contains P35 FINISHED
Object Pizzighettone
Pizzighettone is a historic fortified town in northern Italy known for its well-preserved medieval walls and strategic position along the Adda River.
 E806292 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: Pizzighettone | Statement: [Province of Cremona, contains, Pizzighettone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pizzighettone
Context triple: [Province of Cremona, contains, Pizzighettone]
  • A. Porlezza
    Porlezza is a picturesque lakeside town in northern Italy’s Lombardy region, known for its scenic setting on the eastern end of Lake Lugano near the Swiss border.
  • B. Valdieri
    Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
  • C. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • D. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • E. Lomazzo
    Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
  • 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: Pizzighettone
Triple: [Province of Cremona, contains, Pizzighettone]
Generated description
Pizzighettone is a historic fortified town in northern Italy known for its well-preserved medieval walls and strategic position along the Adda River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pizzighettone
Target entity description: Pizzighettone is a historic fortified town in northern Italy known for its well-preserved medieval walls and strategic position along the Adda River.
  • A. Porlezza
    Porlezza is a picturesque lakeside town in northern Italy’s Lombardy region, known for its scenic setting on the eastern end of Lake Lugano near the Swiss border.
  • B. Valdieri
    Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
  • C. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • D. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • E. Lomazzo
    Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15261b31881908c1059d704e56bf6 completed April 4, 2026, 6:03 p.m.
NEDg Description generation batch_69d1534f1d448190aec45eb76edf8ec9 completed April 4, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69d153c42a30819097279446e3db01b9 completed April 4, 2026, 6:09 p.m.
Created at: March 30, 2026, 7:46 p.m.