Triple

T20533429
Position Surface form Disambiguated ID Type / Status
Subject Sassetta E504126 entity
Predicate roadAccessFrom P22549 FINISHED
Object Livorno
Livorno is a major port city on the western coast of Tuscany, Italy, known for its historic seafaring traditions, Renaissance-era fortifications, and multicultural heritage.
E67624 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: Livorno | Statement: [Sassetta, roadAccessFrom, Livorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livorno
Context triple: [Sassetta, roadAccessFrom, Livorno]
  • A. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. Livorno
    Livorno is a settlement in Wanica District, Suriname, known as a suburban community near the capital city of Paramaribo.
  • C. 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.
  • D. 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.
  • E. Savona
    Savona is a coastal city and port in the Liguria region of northwestern Italy, known historically as a strategic maritime center on the Italian Riviera.
  • 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: Livorno
Triple: [Sassetta, roadAccessFrom, Livorno]
Generated description
Livorno is a major port city on the western coast of Tuscany, Italy, known for its historic seafaring traditions, Renaissance-era fortifications, and multicultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Livorno
Target entity description: Livorno is a major port city on the western coast of Tuscany, Italy, known for its historic seafaring traditions, Renaissance-era fortifications, and multicultural heritage.
  • A. Livorno chosen
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. Livorno
    Livorno is a settlement in Wanica District, Suriname, known as a suburban community near the capital city of Paramaribo.
  • C. 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.
  • D. 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.
  • E. Savona
    Savona is a coastal city and port in the Liguria region of northwestern Italy, known historically as a strategic maritime center on the Italian Riviera.
  • F. None of above.

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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06d30508190a13d1a9855b441fb completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a560df3c81908c5978f8ccf88e5f completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a72cda488190b18b50724666ae55 completed May 16, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a08a79a373481909c37da1cc810e2d9 completed May 16, 2026, 5:21 p.m.
Created at: April 16, 2026, 11:37 a.m.