Triple

T320051
Position Surface form Disambiguated ID Type / Status
Subject Judeo-Italian E7793 entity
Predicate region P40 FINISHED
Object Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
 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: [Judeo-Italian, region, Livorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Livorno
Context triple: [Judeo-Italian, region, Livorno]
  • A. Genoa
    Genoa is a historic port city in northwestern Italy known for its significant maritime heritage, trade, and role as a major economic hub on the Ligurian coast.
  • B. Bari
    Bari is a major port city in southern Italy that served as an important Allied military hub and logistics center during World War II.
  • C. Pescara
    Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
  • D. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • E. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • 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: [Judeo-Italian, region, Livorno]
Generated description
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Livorno
Target entity description: Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • A. Genoa
    Genoa is a historic port city in northwestern Italy known for its significant maritime heritage, trade, and role as a major economic hub on the Ligurian coast.
  • B. Bari
    Bari is a major port city in southern Italy that served as an important Allied military hub and logistics center during World War II.
  • C. Pescara
    Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
  • D. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • E. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea7edbc48190b9031bd1af48f72a completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc562bc08190b5f1a6f143bd13d1 completed March 1, 2026, 11:31 p.m.
NEDg Description generation batch_69a4cd4fdd048190a0717e884a2a0d6d completed March 1, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69a4cdb9bc44819086cff5102a0ce7fd completed March 1, 2026, 11:37 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.