Triple

T2515555
Position Surface form Disambiguated ID Type / Status
Subject Madonie E55403 entity
Predicate hasMunicipality P847 FINISHED
Object Collesano
Collesano is a historic hill town and municipality in the Madonie mountain area of Sicily, Italy, known for its medieval architecture and scenic surroundings.
E277802 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: Collesano | Statement: [Madonie, hasMunicipality, Collesano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collesano
Context triple: [Madonie, hasMunicipality, Collesano]
  • A. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • B. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • C. Cinisi
    Cinisi is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its proximity to Palermo’s main international airport.
  • D. Caudini
    The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
  • E. Cantù
    Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
  • 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: Collesano
Triple: [Madonie, hasMunicipality, Collesano]
Generated description
Collesano is a historic hill town and municipality in the Madonie mountain area of Sicily, Italy, known for its medieval architecture and scenic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Collesano
Target entity description: Collesano is a historic hill town and municipality in the Madonie mountain area of Sicily, Italy, known for its medieval architecture and scenic surroundings.
  • A. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • B. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • C. Cinisi
    Cinisi is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its proximity to Palermo’s main international airport.
  • D. Caudini
    The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
  • E. Cantù
    Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20db7e0819096d901eb20ae65e5 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cec74ac819093529ce5843ca320 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dc7ef4c81908581716c07dcae47 completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e6449e4819084313a5b44d46044 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:46 p.m.