Triple
T6246798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Polytechnical University |
E139739
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
NPU
NPU is a leading Chinese research university in Xi’an renowned for its strengths in aeronautics, astronautics, and marine engineering.
|
E579991
|
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: NPU | Statement: [Northwestern Polytechnical University, abbreviation, NPU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NPU Context triple: [Northwestern Polytechnical University, abbreviation, NPU]
-
A.
Tensor Processing Unit
A Tensor Processing Unit (TPU) is a specialized AI accelerator chip designed by Google to efficiently perform large-scale machine learning computations, particularly for neural networks.
-
B.
Fugaku
Fugaku is a Japanese supercomputer developed by RIKEN and Fujitsu that became the world’s fastest supercomputer in 2020, excelling in a wide range of high-performance computing benchmarks.
-
C.
Tensor Cores
Tensor Cores are specialized processing units in NVIDIA GPUs designed to accelerate matrix operations for deep learning and AI workloads.
-
D.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
-
E.
Fugaku supercomputer
The Fugaku supercomputer is a Japanese exascale-class system that was ranked the world’s fastest supercomputer and is designed for large-scale simulations and advanced scientific research.
- 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: NPU Triple: [Northwestern Polytechnical University, abbreviation, NPU]
Generated description
NPU is a leading Chinese research university in Xi’an renowned for its strengths in aeronautics, astronautics, and marine engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NPU Target entity description: NPU is a leading Chinese research university in Xi’an renowned for its strengths in aeronautics, astronautics, and marine engineering.
-
A.
Tensor Processing Unit
A Tensor Processing Unit (TPU) is a specialized AI accelerator chip designed by Google to efficiently perform large-scale machine learning computations, particularly for neural networks.
-
B.
Fugaku
Fugaku is a Japanese supercomputer developed by RIKEN and Fujitsu that became the world’s fastest supercomputer in 2020, excelling in a wide range of high-performance computing benchmarks.
-
C.
Tensor Cores
Tensor Cores are specialized processing units in NVIDIA GPUs designed to accelerate matrix operations for deep learning and AI workloads.
-
D.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
-
E.
Fugaku supercomputer
The Fugaku supercomputer is a Japanese exascale-class system that was ranked the world’s fastest supercomputer and is designed for large-scale simulations and advanced scientific research.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631f511c81908d413320efdce42e |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2440e47108190b07fa65db104e773 |
completed | March 24, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c4fb6ab25081909bce29ecee57cb42 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc5c18088190ba2ee0d182d7f3c2 |
completed | March 26, 2026, 9:29 a.m. |
Created at: March 22, 2026, 4:23 p.m.