Triple
T27662300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coldline |
E697151
|
entity |
| Predicate | dataDurability |
P133070
|
FINISHED |
| Object | designed for high durability similar to other Google Cloud Storage classes |
—
|
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: designed for high durability similar to other Google Cloud Storage classes | Statement: [Coldline, dataDurability, designed for high durability similar to other Google Cloud Storage classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataDurability Context triple: [Coldline, dataDurability, designed for high durability similar to other Google Cloud Storage classes]
-
A.
durabilityTarget
chosen
Indicates that one entity serves as the object or aspect whose durability, resilience, or resistance to wear is being evaluated, affected, or specified by another entity or process.
-
B.
durabilityModel
Indicates a relationship where an entity is associated with a specific model or method used to estimate or characterize its durability over time or under certain conditions.
-
C.
durabilityClass
Indicates the level or category of resistance an entity has to wear, damage, or degradation over time.
-
D.
durabilityLossRate
Indicates the rate at which an entity’s durability decreases over time or use.
-
E.
dataRetentionPeriod
Indicates the length of time data is stored or kept before it is deleted, archived, or otherwise disposed of.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a183bc8190bdb59700f8f0a16e |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:37 p.m.