Triple
T15217956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIST Special Database 1 |
E363687
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | NIST Special Databases series |
E1143950
|
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 Databases series | Statement: [NIST Special Database 1, partOf, NIST Special Databases series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIST Special Databases series Context triple: [NIST Special Database 1, partOf, NIST Special Databases series]
-
A.
NIST Special Database program
chosen
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
NIST technical reports
NIST technical reports are authoritative publications from the National Institute of Standards and Technology that document research, standards, measurements, and technical guidance across a wide range of scientific and engineering domains.
- 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_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_69fedd3159fc81908c05cfbd0bd7e5ac |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:11 a.m.