Triple

T8035754
Position Surface form Disambiguated ID Type / Status
Subject Province of Lecco E187102 entity
Predicate contains P35 FINISHED
Object Oggiono
Oggiono is a small town and municipality in the Lombardy region of northern Italy, known for its scenic lakeside setting and proximity to the Alps.
E767510 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: Oggiono | Statement: [Province of Lecco, contains, Oggiono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oggiono
Context triple: [Province of Lecco, contains, Oggiono]
  • A. Gargnano
    Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
  • B. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • C. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • D. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • E. Valdieri
    Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
  • 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: Oggiono
Triple: [Province of Lecco, contains, Oggiono]
Generated description
Oggiono is a small town and municipality in the Lombardy region of northern Italy, known for its scenic lakeside setting and proximity to the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oggiono
Target entity description: Oggiono is a small town and municipality in the Lombardy region of northern Italy, known for its scenic lakeside setting and proximity to the Alps.
  • A. Gargnano
    Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
  • B. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • C. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • D. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • E. Valdieri
    Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1a54dd08190bdaaf6772758c22f completed April 3, 2026, 1:33 p.m.
NEDg Description generation batch_69cfc2c1f1108190bfc68e4e174572d6 completed April 3, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69cfc39ebd7881909389905b47e98e71 completed April 3, 2026, 1:41 p.m.
Created at: March 30, 2026, 5:22 p.m.