Triple

T22948915
Position Surface form Disambiguated ID Type / Status
Subject Piaggio E569952 entity
Predicate notableProduct P1448 FINISHED
Object Piaggio MP3
The Piaggio MP3 is a three-wheeled scooter known for its tilting front-wheel design that enhances stability and urban commuting safety.
E1563417 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: Piaggio MP3 | Statement: [Piaggio, notableProduct, Piaggio MP3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piaggio MP3
Context triple: [Piaggio, notableProduct, Piaggio MP3]
  • A. Lambretta
    Lambretta is an iconic Italian line of motor scooters, renowned for its stylish design and popularity in post-war urban transport and scooter culture.
  • B. Cotton Vespasian A.i
    Cotton Vespasian A.i is a medieval manuscript volume from the Cotton Library collection, notable for preserving important early texts and documents.
  • C. Scooter Carusoe
    Scooter Carusoe is an American songwriter known for penning numerous contemporary country hits for major Nashville artists.
  • D. Puch
    Puch is a locality that forms part of the municipality of Puch bei Hallein in the Austrian state of Salzburg.
  • E. Cotton Vespasian D XIV
    Cotton Vespasian D XIV is a medieval manuscript from the Cotton collection, notable for its historical and literary contents preserved in the British Library.
  • 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: Piaggio MP3
Triple: [Piaggio, notableProduct, Piaggio MP3]
Generated description
The Piaggio MP3 is a three-wheeled scooter known for its tilting front-wheel design that enhances stability and urban commuting safety.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piaggio MP3
Target entity description: The Piaggio MP3 is a three-wheeled scooter known for its tilting front-wheel design that enhances stability and urban commuting safety.
  • A. Lambretta
    Lambretta is an iconic Italian line of motor scooters, renowned for its stylish design and popularity in post-war urban transport and scooter culture.
  • B. Cotton Vespasian A.i
    Cotton Vespasian A.i is a medieval manuscript volume from the Cotton Library collection, notable for preserving important early texts and documents.
  • C. Scooter Carusoe
    Scooter Carusoe is an American songwriter known for penning numerous contemporary country hits for major Nashville artists.
  • D. Puch
    Puch is a locality that forms part of the municipality of Puch bei Hallein in the Austrian state of Salzburg.
  • E. Cotton Vespasian D XIV
    Cotton Vespasian D XIV is a medieval manuscript from the Cotton collection, notable for its historical and literary contents preserved in the British Library.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819fbf8c8190ad80c93f1507aa73 completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca161ddc8190923967d024e894ba completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaebed688190b2ea74c588922d98 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:46 p.m.