Triple

T9383807
Position Surface form Disambiguated ID Type / Status
Subject Cosenza E225854 entity
Predicate historicalName P65 FINISHED
Object Cosentia
Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
E797110 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: Cosentia | Statement: [Cosenza, historicalName, Cosentia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosentia
Context triple: [Cosenza, historicalName, Cosentia]
  • A. Clusone
    Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Cenischia
    Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
  • D. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • E. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • 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: Cosentia
Triple: [Cosenza, historicalName, Cosentia]
Generated description
Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cosentia
Target entity description: Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • A. Clusone
    Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Cenischia
    Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
  • D. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • E. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50c23e7881908112597a1771afa5 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078fbc8c8190ac27c5cb27793a9a completed April 4, 2026, 12:43 p.m.
NEDg Description generation batch_69d108466fb481909682fcaac354b312 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d108bab8c881909748ffbb4b23f4ba completed April 4, 2026, 12:48 p.m.
Created at: March 30, 2026, 7:44 p.m.