Triple
T15217955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIST Special Database 1 |
E363687
|
entity |
| Predicate | providedBy |
P67
|
FINISHED |
| Object |
NIST Special Database program
The NIST Special Database program is a U.S. National Institute of Standards and Technology initiative that curates and distributes standardized scientific and technical datasets for research, testing, and benchmarking.
|
E1143950
|
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: NIST Special Database program | Statement: [NIST Special Database 1, providedBy, NIST Special Database program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIST Special Database program Context triple: [NIST Special Database 1, providedBy, NIST Special Database program]
-
A.
NIST Special Database 3
NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition and machine learning.
-
B.
NIST Special Database 1
NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
-
C.
Modified National Institute of Standards and Technology database
The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
-
D.
NIST Journal of Research
The NIST Journal of Research is a scientific journal published by the National Institute of Standards and Technology that presents peer-reviewed research in measurement science, standards, and related technologies.
-
E.
NIST Interagency/Internal Reports
NIST Interagency/Internal Reports are technical and research publications produced by the National Institute of Standards and Technology to document and disseminate detailed findings, methodologies, and guidance for use by government agencies, industry, and the research community.
- 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: NIST Special Database program Triple: [NIST Special Database 1, providedBy, NIST Special Database program]
Generated description
The NIST Special Database program is a U.S. National Institute of Standards and Technology initiative that curates and distributes standardized scientific and technical datasets for research, testing, and benchmarking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NIST Special Database program Target entity description: The NIST Special Database program is a U.S. National Institute of Standards and Technology initiative that curates and distributes standardized scientific and technical datasets for research, testing, and benchmarking.
-
A.
NIST Special Database 3
NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition and machine learning.
-
B.
NIST Special Database 1
NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
-
C.
Modified National Institute of Standards and Technology database
The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
-
D.
NIST Journal of Research
The NIST Journal of Research is a scientific journal published by the National Institute of Standards and Technology that presents peer-reviewed research in measurement science, standards, and related technologies.
-
E.
NIST Interagency/Internal Reports
NIST Interagency/Internal Reports are technical and research publications produced by the National Institute of Standards and Technology to document and disseminate detailed findings, methodologies, and guidance for use by government agencies, industry, and the research community.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed345d58c81908a8fd182c0fe7c15 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed7620d948190858c3b4acae0cbf5 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed7d9934c8190bd2d00830e5d33bb |
completed | May 9, 2026, 6:44 a.m. |
Created at: April 10, 2026, 3:11 a.m.