Triple

T8581505
Position Surface form Disambiguated ID Type / Status
Subject Civitanova Marche E203189 entity
Predicate nearbyCity P350 FINISHED
Object Porto Sant’Elpidio
Porto Sant’Elpidio is a coastal town in Italy’s Marche region, known for its Adriatic beaches, footwear industry, and seaside tourism.
E746111 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: Porto Sant’Elpidio | Statement: [Civitanova Marche, nearbyCity, Porto Sant’Elpidio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Sant’Elpidio
Context triple: [Civitanova Marche, nearbyCity, Porto Sant’Elpidio]
  • A. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • B. Diano Marina
    Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
  • C. Avetrana
    Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
  • D. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • E. Porto Antico
    Porto Antico is Genoa’s revitalized old port area, now a major cultural and tourist hub featuring museums, attractions, and waterfront promenades.
  • 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: Porto Sant’Elpidio
Triple: [Civitanova Marche, nearbyCity, Porto Sant’Elpidio]
Generated description
Porto Sant’Elpidio is a coastal town in Italy’s Marche region, known for its Adriatic beaches, footwear industry, and seaside tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porto Sant’Elpidio
Target entity description: Porto Sant’Elpidio is a coastal town in Italy’s Marche region, known for its Adriatic beaches, footwear industry, and seaside tourism.
  • A. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • B. Diano Marina
    Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
  • C. Avetrana
    Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
  • D. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • E. Porto Antico
    Porto Antico is Genoa’s revitalized old port area, now a major cultural and tourist hub featuring museums, attractions, and waterfront promenades.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1bbbd8819082670286a711826d completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea89550f481908a7ed45303b71731 completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:22 p.m.