Triple

T18724351
Position Surface form Disambiguated ID Type / Status
Subject BERT E457858 entity
Predicate developer P73 FINISHED
Object Google AI Language — NE NERFINISHED

How this triple was built (3 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: Google AI Language | Statement: [BERT, developer, Google AI Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Google AI Language
Context triple: [BERT, developer, Google AI Language]
  • A. Google Natural Language API
    Google Natural Language API is a cloud-based service that uses machine learning to analyze and understand text, offering features like sentiment analysis, entity recognition, syntax parsing, and content classification.
  • B. Microsoft Translator API
    Microsoft Translator API is a cloud-based machine translation service that enables developers to add real-time, multilingual text and speech translation capabilities to their applications.
  • C. Google Translate
    Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
  • D. Amazon Comprehend
    Amazon Comprehend is a fully managed natural language processing (NLP) service from AWS that uses machine learning to extract insights such as sentiment, key phrases, entities, and topics from text.
  • E. TensorFlow Text
    TensorFlow Text is a library of text-related ops and utilities that extends TensorFlow for building, training, and serving natural language processing models.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Google AI Language
Target entity description: Google AI Language is a research division of Google focused on advancing natural language processing and understanding technologies.
  • A. Google Natural Language API
    Google Natural Language API is a cloud-based service that uses machine learning to analyze and understand text, offering features like sentiment analysis, entity recognition, syntax parsing, and content classification.
  • B. Microsoft Translator API
    Microsoft Translator API is a cloud-based machine translation service that enables developers to add real-time, multilingual text and speech translation capabilities to their applications.
  • C. Google Translate
    Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
  • D. Amazon Comprehend
    Amazon Comprehend is a fully managed natural language processing (NLP) service from AWS that uses machine learning to extract insights such as sentiment, key phrases, entities, and topics from text.
  • E. TensorFlow Text
    TensorFlow Text is a library of text-related ops and utilities that extends TensorFlow for building, training, and serving natural language processing models.
  • F. None of above. chosen

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abcfc048190a01dee959e768768 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.