Triple
T36691202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crucial P5 Plus |
E905959
|
entity |
| Predicate | hasCapacityVariant |
P201157
|
FINISHED |
| Object | 500 GB |
—
|
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: 500 GB | Statement: [Crucial P5 Plus, hasCapacityVariant, 500 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapacityVariant Context triple: [Crucial P5 Plus, hasCapacityVariant, 500 GB]
-
A.
hasCapacityTo
Indicates that one entity possesses the ability, power, or potential to perform an action or bring about a particular effect in relation to another entity or context.
-
B.
hasCapacityAs
Indicates that an entity possesses a particular role, function, or capability in which it can act or be utilized.
-
C.
hasCapacityType
Indicates that an entity possesses a specific kind or classification of capacity or capability.
-
D.
hasCapacityProperty
Indicates that an entity is associated with a capacity-related characteristic, such as volume, throughput, or maximum amount it can hold or handle.
-
E.
hasCapacityNote
Indicates that there is an associated explanatory note or comment describing details or qualifications about an entity’s capacity.
- F. None of above. chosen
Provenance (4 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:12 p.m.