Triple

T6240584
Position Surface form Disambiguated ID Type / Status
Subject Mirandola E139587 entity
Predicate hasDemonym P191 FINISHED
Object Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
E579292 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: Mirandolesi | Statement: [Mirandola, hasDemonym, Mirandolesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirandolesi
Context triple: [Mirandola, hasDemonym, Mirandolesi]
  • A. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • B. Orotelli
    Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
  • C. Michelago
    Michelago is a small rural village in New South Wales, Australia, situated south of Canberra and known for its pastoral landscape and historic railway connections.
  • D. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • E. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • 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: Mirandolesi
Triple: [Mirandola, hasDemonym, Mirandolesi]
Generated description
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mirandolesi
Target entity description: Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
  • A. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • B. Orotelli
    Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
  • C. Michelago
    Michelago is a small rural village in New South Wales, Australia, situated south of Canberra and known for its pastoral landscape and historic railway connections.
  • D. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • E. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063067d9c819085a18d9d03939266 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243ff29248190abbb748601039f60 completed March 24, 2026, 7:57 a.m.
NEDg Description generation batch_69c2461400288190ba131686752b2ab7 completed March 24, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_69c2467575848190abf321404a8df3c4 completed March 24, 2026, 8:08 a.m.
Created at: March 22, 2026, 4:23 p.m.