Triple

T11003157
Position Surface form Disambiguated ID Type / Status
Subject AutoML: A Survey of the State-of-the-Art E260049 entity
Predicate topic P261 FINISHED
Object AutoML E427705 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: AutoML | Statement: [AutoML: A Survey of the State-of-the-Art, topic, AutoML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AutoML
Context triple: [AutoML: A Survey of the State-of-the-Art, topic, AutoML]
  • A. AutoML chosen
    AutoML is a set of machine learning tools and services that automatically build, train, and optimize models with minimal manual coding or expertise.
  • B. AutoML: A Survey of the State-of-the-Art
    "AutoML: A Survey of the State-of-the-Art" is a comprehensive academic survey paper that reviews and synthesizes methods, tools, and challenges in automated machine learning, including model selection, hyperparameter optimization, and neural architecture search.
  • C. Neural Architecture Search
    Neural Architecture Search is an automated machine learning technique that uses algorithms to design and optimize neural network architectures without extensive human intervention.
  • D. Create ML
    Create ML is Apple's machine learning tool that lets developers easily build and train models directly on macOS using simple, user-friendly interfaces.
  • E. AI2
    AI2 is a research institute founded by Paul Allen that advances artificial intelligence through open science, impactful AI systems, and large-scale scholarly resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797546f448190946ee6442d657dc5 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.