Triple
T14538562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenandoah GC |
E341112
|
entity |
| Predicate | targetMetric |
P860
|
FINISHED |
| Object | low latency |
—
|
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: low latency | Statement: [Shenandoah GC, targetMetric, low latency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetMetric Context triple: [Shenandoah GC, targetMetric, low latency]
-
A.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
primaryMetric
Indicates the main quantitative measure used to evaluate the performance, success, or impact of an entity or process relative to its goals.
-
C.
relatedMetric
Indicates that one metric has a defined relationship or dependency with another metric.
-
D.
metricType
Indicates the specific category or kind of measurement that a given metric represents.
-
E.
secondaryMetric
Indicates that one metric serves as an additional, supporting measure used alongside a primary metric for evaluation or analysis.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.