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.