Triple

T15132161
Position Surface form Disambiguated ID Type / Status
Subject Firebase E361445 entity
Predicate hasComponent P35 FINISHED
Object Firebase ML
Firebase ML is a machine learning toolkit within Google's Firebase platform that lets developers easily integrate on-device and cloud-based ML features into their mobile and web apps.
E1139175 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: Firebase ML | Statement: [Firebase, hasComponent, Firebase ML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firebase ML
Context triple: [Firebase, hasComponent, Firebase ML]
  • A. Google Vision API
    Google Vision API is a cloud-based image analysis service that uses machine learning to detect objects, text, faces, and other visual features within images.
  • B. Landing AI
    Landing AI is a technology company focused on making artificial intelligence accessible to traditional industries by helping them build and deploy practical AI solutions, particularly in manufacturing and computer vision.
  • C. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • D. Azure Cognitive Services
    Azure Cognitive Services is a suite of cloud-based AI APIs and tools that enable developers to add capabilities like vision, speech, language understanding, and decision-making to their applications without needing deep machine learning expertise.
  • E. Apple AI/ML
    Apple AI/ML is Apple’s artificial intelligence and machine learning division, responsible for developing and integrating AI technologies across the company’s products and services.
  • 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: Firebase ML
Triple: [Firebase, hasComponent, Firebase ML]
Generated description
Firebase ML is a machine learning toolkit within Google's Firebase platform that lets developers easily integrate on-device and cloud-based ML features into their mobile and web apps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Firebase ML
Target entity description: Firebase ML is a machine learning toolkit within Google's Firebase platform that lets developers easily integrate on-device and cloud-based ML features into their mobile and web apps.
  • A. Google Vision API
    Google Vision API is a cloud-based image analysis service that uses machine learning to detect objects, text, faces, and other visual features within images.
  • B. Landing AI
    Landing AI is a technology company focused on making artificial intelligence accessible to traditional industries by helping them build and deploy practical AI solutions, particularly in manufacturing and computer vision.
  • C. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • D. Azure Cognitive Services
    Azure Cognitive Services is a suite of cloud-based AI APIs and tools that enable developers to add capabilities like vision, speech, language understanding, and decision-making to their applications without needing deep machine learning expertise.
  • E. Apple AI/ML
    Apple AI/ML is Apple’s artificial intelligence and machine learning division, responsible for developing and integrating AI technologies across the company’s products and services.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7fa449c8190aed8941168b063c3 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69febbfb58608190830eca7f9a78fc9c completed May 9, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69febc842a7081908a85ba2833212650 completed May 9, 2026, 4:48 a.m.
Created at: April 10, 2026, 3:06 a.m.