Triple

T6806713
Position Surface form Disambiguated ID Type / Status
Subject Sisteron E156323 entity
Predicate hasTwinTown P919 FINISHED
Object Fidenza
Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
E619613 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: Fidenza | Statement: [Sisteron, hasTwinTown, Fidenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fidenza
Context triple: [Sisteron, hasTwinTown, Fidenza]
  • A. Ferentino
    Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
  • B. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • C. Donnalucata
    Donnalucata is a seaside village in southern Sicily, Italy, known for its sandy beaches, fishing tradition, and role as a holiday destination on the Mediterranean coast.
  • D. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • E. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • 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: Fidenza
Triple: [Sisteron, hasTwinTown, Fidenza]
Generated description
Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fidenza
Target entity description: Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
  • A. Ferentino
    Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
  • B. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • C. Donnalucata
    Donnalucata is a seaside village in southern Sicily, Italy, known for its sandy beaches, fishing tradition, and role as a holiday destination on the Mediterranean coast.
  • D. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • E. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa27cec81909f45911ffa44ea6f completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71bb4dcf08190b3b333f6a282bd8a completed March 28, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69c71c4133908190a2b0a79475101666 completed March 28, 2026, 12:09 a.m.
Created at: March 27, 2026, 2:16 p.m.