Triple

T9956504
Position Surface form Disambiguated ID Type / Status
Subject Colosseo metro station E195458 entity
Predicate ticketingSystem P3383 FINISHED
Object Metrebus Roma
Metrebus Roma is the integrated public transport ticketing system used across Rome’s buses, trams, and metro services.
E831888 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: Metrebus Roma | Statement: [Colosseo metro station, ticketingSystem, Metrebus Roma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrebus Roma
Context triple: [Colosseo metro station, ticketingSystem, Metrebus Roma]
  • A. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • B. Trotti
    Trotti is a surname most notably associated with American screenwriter and film producer Lamar Trotti.
  • C. Luxilus
    Luxilus is a genus of North American freshwater minnows in the family Leuciscidae, commonly found in streams and rivers.
  • D. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • E. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • 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: Metrebus Roma
Triple: [Colosseo metro station, ticketingSystem, Metrebus Roma]
Generated description
Metrebus Roma is the integrated public transport ticketing system used across Rome’s buses, trams, and metro services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metrebus Roma
Target entity description: Metrebus Roma is the integrated public transport ticketing system used across Rome’s buses, trams, and metro services.
  • A. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • B. Trotti
    Trotti is a surname most notably associated with American screenwriter and film producer Lamar Trotti.
  • C. Luxilus
    Luxilus is a genus of North American freshwater minnows in the family Leuciscidae, commonly found in streams and rivers.
  • D. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • E. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6976b50819097a0ae347354e92c completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d71342081908084c27790ef4fcc completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23fb02c6081909f2c99ca21c90822 completed April 5, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69d24047ae4081909678ca9cf6cfbfff completed April 5, 2026, 10:58 a.m.
Created at: March 30, 2026, 8:46 p.m.