Triple

T18204698
Position Surface form Disambiguated ID Type / Status
Subject OPT E435873 entity
Predicate includesVariant P455 FINISHED
Object OPT-350M
OPT-350M is a 350-million-parameter variant of Meta AI's Open Pretrained Transformer language model family, designed as a smaller, efficient model for research and experimentation.
 E1312448 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: OPT-350M | Statement: [OPT, includesVariant, OPT-350M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPT-350M
Context triple: [OPT, includesVariant, OPT-350M]
  • A. SP-350
    SP-350 is a deep-diving research submersible, famously known as the "Denise" or "Diving Saucer," used for underwater exploration.
  • B. M-35
    M-35 is a state trunkline highway in Michigan’s Upper Peninsula that runs along the shore of Green Bay and connects several communities in Menominee County and beyond.
  • C. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • D. TX-35
    TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
  • E. M-600
    M-600 is a regional road in the Community of Madrid, Spain, that connects several towns including Brunete.
  • 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: OPT-350M
Triple: [OPT, includesVariant, OPT-350M]
Generated description
OPT-350M is a 350-million-parameter variant of Meta AI's Open Pretrained Transformer language model family, designed as a smaller, efficient model for research and experimentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPT-350M
Target entity description: OPT-350M is a 350-million-parameter variant of Meta AI's Open Pretrained Transformer language model family, designed as a smaller, efficient model for research and experimentation.
  • A. SP-350
    SP-350 is a deep-diving research submersible, famously known as the "Denise" or "Diving Saucer," used for underwater exploration.
  • B. M-35
    M-35 is a state trunkline highway in Michigan’s Upper Peninsula that runs along the shore of Green Bay and connects several communities in Menominee County and beyond.
  • C. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • D. TX-35
    TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
  • E. M-600
    M-600 is a regional road in the Community of Madrid, Spain, that connects several towns including Brunete.
  • 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.