Triple
T14875503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Institute of Information Technology, Hyderabad |
E349855
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Machine Learning Lab
Machine Learning Lab is a research center at the International Institute of Information Technology, Hyderabad, focused on advancing theory and applications of machine learning and artificial intelligence.
|
E1125996
|
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: Machine Learning Lab | Statement: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Machine Learning Lab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machine Learning Lab Context triple: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Machine Learning Lab]
-
A.
Machine Learning Department, Carnegie Mellon University
The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
-
B.
Lifelong Learning Machines program
The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
-
C.
MS in Machine Learning
MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
-
D.
Azure Machine Learning
Azure Machine Learning is a cloud-based service from Microsoft for building, training, deploying, and managing machine learning models at scale on Azure.
-
E.
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.
- 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: Machine Learning Lab Triple: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Machine Learning Lab]
Generated description
Machine Learning Lab is a research center at the International Institute of Information Technology, Hyderabad, focused on advancing theory and applications of machine learning and artificial intelligence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machine Learning Lab Target entity description: Machine Learning Lab is a research center at the International Institute of Information Technology, Hyderabad, focused on advancing theory and applications of machine learning and artificial intelligence.
-
A.
Machine Learning Department, Carnegie Mellon University
The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
-
B.
Lifelong Learning Machines program
The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
-
C.
MS in Machine Learning
MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
-
D.
Azure Machine Learning
Azure Machine Learning is a cloud-based service from Microsoft for building, training, deploying, and managing machine learning models at scale on Azure.
-
E.
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.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b52c12481908d0173a2a3ed854b |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6bf09424819095fa5b2e20e8d07d |
completed | May 8, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6c6ebe4881909334d772e45403f6 |
completed | May 8, 2026, 11:06 p.m. |
Created at: April 10, 2026, 1:55 a.m.