Triple

T6033918
Position Surface form Disambiguated ID Type / Status
Subject ROOT E134370 entity
Predicate hasComponent P35 FINISHED
Object TMVA
TMVA (Toolkit for Multivariate Data Analysis) is a ROOT-integrated machine learning framework widely used in high-energy physics for classification, regression, and multivariate analysis tasks.
 E565047 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: TMVA | Statement: [ROOT, hasComponent, TMVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMVA
Context triple: [ROOT, hasComponent, TMVA]
  • A. libsvm
    libsvm is a widely used open-source library that implements Support Vector Machines for classification, regression, and related machine learning tasks.
  • B. ML
    ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
  • C. ML
    ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
  • D. ML
    ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
  • E. XGBoost
    XGBoost is a high-performance, open-source gradient boosting library widely used for structured/tabular machine learning tasks such as classification and regression.
  • 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: TMVA
Triple: [ROOT, hasComponent, TMVA]
Generated description
TMVA (Toolkit for Multivariate Data Analysis) is a ROOT-integrated machine learning framework widely used in high-energy physics for classification, regression, and multivariate analysis tasks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMVA
Target entity description: TMVA (Toolkit for Multivariate Data Analysis) is a ROOT-integrated machine learning framework widely used in high-energy physics for classification, regression, and multivariate analysis tasks.
  • A. libsvm
    libsvm is a widely used open-source library that implements Support Vector Machines for classification, regression, and related machine learning tasks.
  • B. ML
    ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
  • C. ML
    ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
  • D. ML
    ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
  • E. XGBoost
    XGBoost is a high-performance, open-source gradient boosting library widely used for structured/tabular machine learning tasks such as classification and regression.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b220608190b156be95632cf3b3 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11388aec881908408d5844c96ea2d completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11689c0788190847435b526572edc completed March 23, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c116eb349c81908cad0bf5ccc458bc completed March 23, 2026, 10:33 a.m.
Created at: March 22, 2026, 4:08 p.m.