Triple

T3922859
Position Surface form Disambiguated ID Type / Status
Subject Valle d’Intelvi E93201 entity
Predicate contains P35 FINISHED
Object Blessagno
Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
 E400258 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: Blessagno | Statement: [Valle d’Intelvi, contains, Blessagno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blessagno
Context triple: [Valle d’Intelvi, contains, Blessagno]
  • A. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • B. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • C. Montebelluna
    Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
  • D. Grignano
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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: Blessagno
Triple: [Valle d’Intelvi, contains, Blessagno]
Generated description
Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blessagno
Target entity description: Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
  • A. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • B. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • C. Montebelluna
    Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
  • D. Grignano
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed7c2c848190a6d62e2df9b942d4 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52870268881908463e30c11cda797 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c3d0c0481909e869cf88e3f8a9d completed March 14, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69b52cb30f5c819095ac6e101a14b880 completed March 14, 2026, 9:38 a.m.
Created at: March 9, 2026, 3:22 p.m.