Triple

T23632831
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 142 E583661 entity
Predicate bodyDesignDerivedFrom P153344 FINISHED
Object Leyland National bus
The Leyland National bus is a widely used British single-deck bus model introduced in the 1970s, known for its modular construction and distinctive, boxy design.
 E1598202 NE FINISHED

How this triple was built (3 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: Leyland National bus | Statement: [British Rail Class 142, bodyDesignDerivedFrom, Leyland National bus]
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: Leyland National bus
Triple: [British Rail Class 142, bodyDesignDerivedFrom, Leyland National bus]
Generated description
The Leyland National bus is a widely used British single-deck bus model introduced in the 1970s, known for its modular construction and distinctive, boxy design.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: bodyDesignDerivedFrom
Context triple: [British Rail Class 142, bodyDesignDerivedFrom, Leyland National bus]
  • A. carbodyMaterial
    Indicates the material from which a vehicle’s body or main structural shell is made.
  • B. chassisMaterialFeature
    Indicates that an entity has a chassis characterized by a specific material-related feature or property.
  • C. chassisDesigner
    Indicates that one entity is the designer or creator responsible for the chassis of another entity.
  • D. chassisOrigin
    Indicates the place or source from which a chassis was originally produced, manufactured, or derived.
  • E. bodyStyleProduced
    Indicates that a particular body style was manufactured or produced by a given entity (such as a company, plant, or production line).
  • F. None of above. chosen

Provenance (7 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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e90a6881909f19b2446f9d54f0 completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f539db65481909fe7ccf26c5d791e completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f54922cd08190a4f99491caea55e3 completed May 21, 2026, 6:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f550064ec81909e015874413fcb65 completed May 21, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f138b8c9248190b059bc38a9a50958 completed April 28, 2026, 10:46 p.m.
Created at: April 17, 2026, 6:47 p.m.