Triple
T36491762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omniglot |
E899066
|
entity |
| Predicate | evaluationSetUsedFor |
P16906
|
FINISHED |
| Object | meta-testing |
—
|
LITERAL 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: meta-testing | Statement: [Omniglot, evaluationSetUsedFor, meta-testing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationSetUsedFor Context triple: [Omniglot, evaluationSetUsedFor, meta-testing]
-
A.
evaluationUse
Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
-
B.
evaluationDataset
chosen
Indicates that a dataset is used as a benchmark or test set for evaluating the performance or quality of a system, model, or method.
-
C.
evaluationTarget
Indicates that something is the object, subject, or focus being assessed, judged, or analyzed in an evaluation process.
-
D.
usedToCalibrate
Indicates that one entity serves as a reference or standard to adjust, tune, or verify the accuracy of another entity.
-
E.
isUsedToTest
Indicates that one entity serves as a means or tool for evaluating, examining, or verifying another entity.
- F. None of above.
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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.