Triple

T34060829
Position Surface form Disambiguated ID Type / Status
Subject Lexus vehicle platforms E873487 entity
Predicate usedInModelRange P197211 FINISHED
Object Lexus sedans
Lexus sedans are the luxury four-door passenger cars produced by Toyota’s premium brand, known for their refinement, comfort, advanced technology, and strong reliability.
E2079893 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: Lexus sedans | Statement: [Lexus vehicle platforms, usedInModelRange, Lexus sedans]
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: Lexus sedans
Triple: [Lexus vehicle platforms, usedInModelRange, Lexus sedans]
Generated description
Lexus sedans are the luxury four-door passenger cars produced by Toyota’s premium brand, known for their refinement, comfort, advanced technology, and strong reliability.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInModelRange
Context triple: [Lexus vehicle platforms, usedInModelRange, Lexus sedans]
  • A. usedInDeviceModel
    Indicates that something (such as a component, material, or technology) is utilized within or incorporated into a particular device model.
  • B. usedByModel
    Indicates that something (such as a resource, method, or component) is utilized or consumed by a particular model.
  • C. usedInVersionRange
    Indicates that something is applicable, valid, or in effect only within a specified range of versions.
  • D. useOfModel
    Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
  • E. usesModelsType
    Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
  • 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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe7bfc94bc81909eeec946e8c1c450 completed May 9, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36a046766c8190b6509281dcb2c85b completed June 20, 2026, 2:14 p.m.
NEDg Description generation batch_6a36a21182608190a308ca7a32aaa966 completed June 20, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a36a26cf4b481909a71246d738b0e51 completed June 20, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69fe7b74a1188190886f128e07f712da completed May 9, 2026, 12:10 a.m.
PDg Predicate description generation batch_69fe7bfb71b08190bed5c33e4ab7afff completed May 9, 2026, 12:12 a.m.
Created at: May 1, 2026, 1:52 a.m.