Triple
T15282553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIST Special Database 3 |
E365304
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | NIST Special Database 1 |
E363687
|
NE FINISHED |
How this triple was built (2 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 1 | Statement: [NIST Special Database 3, relatedTo, NIST Special Database 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIST Special Database 1 Context triple: [NIST Special Database 3, relatedTo, NIST Special Database 1]
-
A.
NIST Special Database 1
chosen
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.
-
B.
NIST Special Database 19
NIST Special Database 19 is a large, publicly available collection of handwritten character images created by the National Institute of Standards and Technology for use in developing and evaluating handwriting recognition and related pattern-recognition systems.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e51f82081909f63d14b589d5587 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e2a03c81909ab24d4ed2b54698 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:15 a.m.