Triple

T6253639
Position Surface form Disambiguated ID Type / Status
Subject Province of Ravenna E140106 entity
Predicate contains P35 FINISHED
Object Conselice
Conselice is a small Italian town and municipality located in the Emilia-Romagna region in northern Italy.
E580137 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: Conselice | Statement: [Province of Ravenna, contains, Conselice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conselice
Context triple: [Province of Ravenna, contains, Conselice]
  • A. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • B. 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.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • E. 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.
  • 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: Conselice
Triple: [Province of Ravenna, contains, Conselice]
Generated description
Conselice is a small Italian town and municipality located in the Emilia-Romagna region in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conselice
Target entity description: Conselice is a small Italian town and municipality located in the Emilia-Romagna region in northern Italy.
  • A. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • B. 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.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • E. 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.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063625608819081f5422112c80ce5 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c4fb6ab25081909bce29ecee57cb42 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc5c18088190ba2ee0d182d7f3c2 completed March 26, 2026, 9:29 a.m.
Created at: March 22, 2026, 4:24 p.m.