Triple
T15264221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dencun |
E364857
|
entity |
| Predicate | reducesCostComponent |
P9925
|
FINISHED |
| Object | L2 data availability costs |
—
|
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: L2 data availability costs | Statement: [Dencun, reducesCostComponent, L2 data availability costs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducesCostComponent Context triple: [Dencun, reducesCostComponent, L2 data availability costs]
-
A.
reducedCostOf
Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
-
B.
reducedCommissionRate
Indicates that the commission rate applied to a transaction or agreement is lower than the standard or previously agreed rate.
-
C.
serviceReduction
Indicates a decrease or limitation in the level, frequency, or scope of a previously provided service.
-
D.
increasedCostFor
Indicates that one entity causes or experiences a rise in the cost associated with another entity or activity.
-
E.
reduces
chosen
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.