Triple

T12094615
Position Surface form Disambiguated ID Type / Status
Subject Bertinoro E288038 entity
Predicate governingBody P46 FINISHED
Object Comune di Bertinoro
Comune di Bertinoro is the municipal administrative authority responsible for governing the town of Bertinoro in Italy.
E965663 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: Comune di Bertinoro | Statement: [Bertinoro, governingBody, Comune di Bertinoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Bertinoro
Context triple: [Bertinoro, governingBody, Comune di Bertinoro]
  • A. Comune di Mirandola
    Comune di Mirandola is the municipal government of Mirandola, a historic town in the Emilia-Romagna region of northern Italy.
  • B. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • C. Cotignola
    Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
  • D. Comune di Forlì
    Comune di Forlì is a major city and municipality in Italy’s Emilia-Romagna region, known as an important economic, cultural, and transportation hub in the Romagna area.
  • E. Pieve di Cento
    Pieve di Cento is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and artistic heritage.
  • 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: Comune di Bertinoro
Triple: [Bertinoro, governingBody, Comune di Bertinoro]
Generated description
Comune di Bertinoro is the municipal administrative authority responsible for governing the town of Bertinoro in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Comune di Bertinoro
Target entity description: Comune di Bertinoro is the municipal administrative authority responsible for governing the town of Bertinoro in Italy.
  • A. Comune di Mirandola
    Comune di Mirandola is the municipal government of Mirandola, a historic town in the Emilia-Romagna region of northern Italy.
  • B. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • C. Cotignola
    Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
  • D. Comune di Forlì
    Comune di Forlì is a major city and municipality in Italy’s Emilia-Romagna region, known as an important economic, cultural, and transportation hub in the Romagna area.
  • E. Pieve di Cento
    Pieve di Cento is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and artistic heritage.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66edf7881908f29b5b40b9d020f completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd79da748190b3f0dd7d7a46314d completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:48 p.m.