Triple

T36115758
Position Surface form Disambiguated ID Type / Status
Subject Toyota in international motorsport E1044609 entity
Predicate supportsProgram P178 FINISHED
Object Toyota Young Drivers Program
The Toyota Young Drivers Program is a driver development initiative that identifies, trains, and supports promising young racing talents within Toyota’s global motorsport ladder.
E2169883 NE FINISHED

How this triple was built (2 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: Toyota Young Drivers Program | Statement: [Toyota in international motorsport, supportsProgram, Toyota Young Drivers Program]
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: Toyota Young Drivers Program
Triple: [Toyota in international motorsport, supportsProgram, Toyota Young Drivers Program]
Generated description
The Toyota Young Drivers Program is a driver development initiative that identifies, trains, and supports promising young racing talents within Toyota’s global motorsport ladder.

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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b2cbe27c8190bd777cf24e1fd168 completed May 3, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38de08c0e88190a4654634051549bd completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38f3bca0208190a2853e35f027dae8 completed June 22, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a38f90edfb881908f84396fe2c74311 completed June 22, 2026, 8:57 a.m.
Created at: May 3, 2026, 4:08 p.m.