Triple

T22710447
Position Surface form Disambiguated ID Type / Status
Subject Province of Bologna E561576 entity
Predicate contains P35 FINISHED
Object Castenaso
Castenaso is a municipality in the Emilia-Romagna region of northern Italy, situated near the city of Bologna.
 E1550252 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: Castenaso | Statement: [Province of Bologna, contains, Castenaso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Castenaso
Context triple: [Province of Bologna, contains, Castenaso]
  • A. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • B. Olmedo
    Olmedo is a Spanish-language surname most notably associated with José Joaquín de Olmedo, an important Ecuadorian poet and statesman.
  • C. Mozonte
    Mozonte is a municipality and town in northern Nicaragua’s Nueva Segovia Department, known for its rural highland setting and traditional agricultural economy.
  • D. Alcalatén
    Alcalatén is a comarca (county-level administrative region) in the inland part of the Valencian Community in eastern Spain, known for its mountainous terrain and rural municipalities.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Castenaso
Triple: [Province of Bologna, contains, Castenaso]
Generated description
Castenaso is a municipality in the Emilia-Romagna region of northern Italy, situated near the city of Bologna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Castenaso
Target entity description: Castenaso is a municipality in the Emilia-Romagna region of northern Italy, situated near the city of Bologna.
  • A. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • B. Olmedo
    Olmedo is a Spanish-language surname most notably associated with José Joaquín de Olmedo, an important Ecuadorian poet and statesman.
  • C. Mozonte
    Mozonte is a municipality and town in northern Nicaragua’s Nueva Segovia Department, known for its rural highland setting and traditional agricultural economy.
  • D. Alcalatén
    Alcalatén is a comarca (county-level administrative region) in the inland part of the Valencian Community in eastern Spain, known for its mountainous terrain and rural municipalities.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17907d7288190bb53f76974f95cef completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed9cb908190b50dd5297ca2d17c completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7fbb53388190b0942c28b5748c60 completed May 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0b806b4e1481909babc97a8914947a completed May 18, 2026, 9:11 p.m.
Created at: April 17, 2026, 3:17 p.m.