Triple

T18998609
Position Surface form Disambiguated ID Type / Status
Subject Cannobio E464885 entity
Predicate hasSubdivision P747 FINISHED
Object Lunecco
Lunecco is a small locality or hamlet that forms part of the municipality of Cannobio in northern Italy.
 E1354571 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: Lunecco | Statement: [Cannobio, hasSubdivision, Lunecco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lunecco
Context triple: [Cannobio, hasSubdivision, Lunecco]
  • A. Talamone
    Talamone is a coastal town in southern Tuscany, Italy, known historically as a fortified port that once formed part of various regional maritime defense systems.
  • B. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • C. Camaiore
    Camaiore is a Tuscan town in central Italy known for its historic center, proximity to the Versilia coast, and scenic setting between the Apuan Alps and the Tyrrhenian Sea.
  • D. Piombino
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • E. Rosolini
    Rosolini is a town and comune in southeastern Sicily, Italy, known for its baroque architecture and agricultural production.
  • 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: Lunecco
Triple: [Cannobio, hasSubdivision, Lunecco]
Generated description
Lunecco is a small locality or hamlet that forms part of the municipality of Cannobio in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lunecco
Target entity description: Lunecco is a small locality or hamlet that forms part of the municipality of Cannobio in northern Italy.
  • A. Talamone
    Talamone is a coastal town in southern Tuscany, Italy, known historically as a fortified port that once formed part of various regional maritime defense systems.
  • B. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • C. Camaiore
    Camaiore is a Tuscan town in central Italy known for its historic center, proximity to the Versilia coast, and scenic setting between the Apuan Alps and the Tyrrhenian Sea.
  • D. Piombino
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • E. Rosolini
    Rosolini is a town and comune in southeastern Sicily, Italy, known for its baroque architecture and agricultural production.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6838f4481909b265e29964b0dca completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be49f9ac8190b4bb5836f4b8ffdd completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf77069c8190ad286e2efc5901c6 completed May 14, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05c017b7f0819087d42df1fe099ab9 completed May 14, 2026, 12:29 p.m.
Created at: April 10, 2026, 12:01 p.m.