Triple

T4963859
Position Surface form Disambiguated ID Type / Status
Subject Serravalle E111472 entity
Predicate borders P224 FINISHED
Object Faetano
Faetano is one of the nine municipalities (castelli) of San Marino, a small enclave known for its historic character and position in the country’s southeastern area.
E482061 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: Faetano | Statement: [Serravalle, borders, Faetano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faetano
Context triple: [Serravalle, borders, Faetano]
  • A. Ilario
    Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
  • B. Tullio
    Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
  • C. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • D. Gabriele
    Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
  • E. Sebastiano
    Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
  • 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: Faetano
Triple: [Serravalle, borders, Faetano]
Generated description
Faetano is one of the nine municipalities (castelli) of San Marino, a small enclave known for its historic character and position in the country’s southeastern area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faetano
Target entity description: Faetano is one of the nine municipalities (castelli) of San Marino, a small enclave known for its historic character and position in the country’s southeastern area.
  • A. Ilario
    Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
  • B. Tullio
    Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
  • C. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • D. Gabriele
    Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
  • E. Sebastiano
    Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f555b48190984ee914ba1a91ee completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81edb99481909397559479c3badb completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be82b3aab08190a0bbdb94067fecfb completed March 21, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_69be8323963481909b5c9902c4b0188d completed March 21, 2026, 11:38 a.m.
Created at: March 20, 2026, 1:32 p.m.