Triple

T18204612
Position Surface form Disambiguated ID Type / Status
Subject ViT E435871 entity
Predicate performsWellOn P130217 FINISHED
Object JFT-300M
JFT-300M is a massive proprietary image classification dataset containing around 300 million labeled images used to pretrain large-scale vision models.
 E1312445 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: JFT-300M | Statement: [ViT, performsWellOn, JFT-300M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JFT-300M
Context triple: [ViT, performsWellOn, JFT-300M]
  • A. J300
    J300 is the internal model code for the fourth-generation Lexus LX, a full-size luxury SUV built on Toyota’s latest Land Cruiser platform.
  • B. FJT
    FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
  • C. FJ33
    The FJ33 is a small, high-bypass turbofan engine developed by Williams International for use in very light jets and other compact business aircraft.
  • D. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • E. FJX-2
    The FJX-2 is an experimental small turbofan jet engine developed by Williams International for very light aircraft and advanced propulsion research.
  • 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: JFT-300M
Triple: [ViT, performsWellOn, JFT-300M]
Generated description
JFT-300M is a massive proprietary image classification dataset containing around 300 million labeled images used to pretrain large-scale vision models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JFT-300M
Target entity description: JFT-300M is a massive proprietary image classification dataset containing around 300 million labeled images used to pretrain large-scale vision models.
  • A. J300
    J300 is the internal model code for the fourth-generation Lexus LX, a full-size luxury SUV built on Toyota’s latest Land Cruiser platform.
  • B. FJT
    FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
  • C. FJ33
    The FJ33 is a small, high-bypass turbofan engine developed by Williams International for use in very light jets and other compact business aircraft.
  • D. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • E. FJX-2
    The FJX-2 is an experimental small turbofan jet engine developed by Williams International for very light aircraft and advanced propulsion research.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f0e52108190913cc5c667619d89 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:32 a.m.