Triple

T268650
Position Surface form Disambiguated ID Type / Status
Subject Lake Como E5575 entity
Predicate hasTownOnShore P969 FINISHED
Object Cernobbio
Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
E47235 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: Cernobbio | Statement: [Lake Como, hasTownOnShore, Cernobbio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cernobbio
Context triple: [Lake Como, hasTownOnShore, Cernobbio]
  • A. 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.
  • B. Menaggio
    Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
  • C. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • D. Bardonecchia
    Bardonecchia is an alpine town in northwestern Italy known as a ski resort and transport hub near the French border in the Susa Valley.
  • E. Lecco
    Lecco is an Italian town in the Lombardy region, known for its scenic location at the southeastern tip of Lake Como and its surrounding Alpine foothills.
  • 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: Cernobbio
Triple: [Lake Como, hasTownOnShore, Cernobbio]
Generated description
Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cernobbio
Target entity description: Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
  • A. 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.
  • B. Menaggio
    Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
  • C. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • D. Bardonecchia
    Bardonecchia is an alpine town in northwestern Italy known as a ski resort and transport hub near the French border in the Susa Valley.
  • E. Lecco
    Lecco is an Italian town in the Lombardy region, known for its scenic location at the southeastern tip of Lake Como and its surrounding Alpine foothills.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a260cfb4cc81909771b2d496b84726 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3f0a0fd6081908b672fe7106a0c74 completed March 1, 2026, 7:54 a.m.
NEDg Description generation batch_69a3f1a9e5188190b79c5e459eb68be4 completed March 1, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69a3f1fad5c08190a2c50f17570e6abc completed March 1, 2026, 7:59 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.