Triple

T10744879
Position Surface form Disambiguated ID Type / Status
Subject Province of Cosenza E253424 entity
Predicate contains P35 FINISHED
Object Frascineto
Frascineto is a small Arbëreshë (Albanian-heritage) town in Calabria, southern Italy, known for preserving Albanian language and Byzantine religious traditions.
E883885 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: Frascineto | Statement: [Province of Cosenza, contains, Frascineto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frascineto
Context triple: [Province of Cosenza, contains, Frascineto]
  • A. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • B. Poggio Renatico
    Poggio Renatico is a town in northern Italy known for hosting key NATO air command and control facilities.
  • C. Poggio Nativo
    Poggio Nativo is a small Italian municipality in the Lazio region, known for its rural landscape and traditional hilltop village setting.
  • D. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • E. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • 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: Frascineto
Triple: [Province of Cosenza, contains, Frascineto]
Generated description
Frascineto is a small Arbëreshë (Albanian-heritage) town in Calabria, southern Italy, known for preserving Albanian language and Byzantine religious traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frascineto
Target entity description: Frascineto is a small Arbëreshë (Albanian-heritage) town in Calabria, southern Italy, known for preserving Albanian language and Byzantine religious traditions.
  • A. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • B. Poggio Renatico
    Poggio Renatico is a town in northern Italy known for hosting key NATO air command and control facilities.
  • C. Poggio Nativo
    Poggio Nativo is a small Italian municipality in the Lazio region, known for its rural landscape and traditional hilltop village setting.
  • D. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • E. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b6b4b48190bad08500fa963062 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de230b461c81909a98085079676b95 completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.