Triple
T37403721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latitude 9000 series |
E929067
|
entity |
| Predicate | typicalMemoryClass |
P9896
|
FINISHED |
| Object | high-capacity RAM options |
—
|
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: high-capacity RAM options | Statement: [Latitude 9000 series, typicalMemoryClass, high-capacity RAM options]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemoryClass Context triple: [Latitude 9000 series, typicalMemoryClass, high-capacity RAM options]
-
A.
memoryType
chosen
Indicates the specific category or kind of memory associated with an entity or process.
-
B.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
-
C.
memoryCharacteristic
Indicates a relationship where a specific property or quality is attributed to a memory or memory-related entity.
-
D.
typicalStorage
Indicates the usual or standard way in which something is stored or kept.
-
E.
builtInMemoryOf
Indicates that something was constructed as a tribute or commemoration to a particular person, group, or event.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.