Triple
T28997949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glow |
E736216
|
entity |
| Predicate | hasEvaluationMetric |
P147753
|
FINISHED |
| Object | bits per dimension |
—
|
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: bits per dimension | Statement: [Glow, hasEvaluationMetric, bits per dimension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEvaluationMetric Context triple: [Glow, hasEvaluationMetric, bits per dimension]
-
A.
hasAssociatedMetric
chosen
Indicates that an entity is linked to a specific metric used to quantify, evaluate, or monitor some aspect of that entity.
-
B.
hasNotableMetric
Indicates that an entity is associated with a specific metric or measurement that is considered significant or noteworthy in its context.
-
C.
evaluationModel
Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
-
D.
evaluationFunction
Indicates a relationship where a specific procedure or rule assigns a value or score to an input, typically to assess its quality, utility, or desirability.
-
E.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fb8003081909d0e3ee34237bc29 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:32 a.m.