Triple

T11103706
Position Surface form Disambiguated ID Type / Status
Subject Province of Rimini E262573 entity
Predicate contains P35 FINISHED
Object San Leo
San Leo is a historic hilltop town in Italy’s Emilia-Romagna region, renowned for its imposing fortress and panoramic views over the Marecchia Valley.
E912775 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: San Leo | Statement: [Province of Rimini, contains, San Leo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Leo
Context triple: [Province of Rimini, contains, San Leo]
  • A. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. Grosseto
    Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
  • C. Calvi
    Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
  • D. Calvi
    Calvi is a small Italian municipality located in the Campania region within the Province of Benevento.
  • E. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • 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: San Leo
Triple: [Province of Rimini, contains, San Leo]
Generated description
San Leo is a historic hilltop town in Italy’s Emilia-Romagna region, renowned for its imposing fortress and panoramic views over the Marecchia Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Leo
Target entity description: San Leo is a historic hilltop town in Italy’s Emilia-Romagna region, renowned for its imposing fortress and panoramic views over the Marecchia Valley.
  • A. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. Grosseto
    Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
  • C. Calvi
    Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
  • D. Calvi
    Calvi is a small Italian municipality located in the Campania region within the Province of Benevento.
  • E. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acd76d20819089ed2ea2c22bc65d completed April 19, 2026, 10:22 a.m.
NEDg Description generation batch_69e4b1ee74748190a33449ce1b92813e completed April 19, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3d23b18819096f3a11aecc732bd completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:27 p.m.