Triple
T29181348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LINC computer |
E739751
|
entity |
| Predicate | typicalMemorySize |
P52984
|
FINISHED |
| Object | 2048 words |
—
|
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: 2048 words | Statement: [LINC computer, typicalMemorySize, 2048 words]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemorySize Context triple: [LINC computer, typicalMemorySize, 2048 words]
-
A.
typicalRAMRange
Indicates the usual or commonly expected range of RAM capacity associated with an entity.
-
B.
mainMemorySize
chosen
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
C.
typicalRAMRangeMB
Indicates the usual or expected range of RAM capacity, measured in megabytes, associated with an entity.
-
D.
builtInMemoryOf
Indicates that something was constructed as a tribute or commemoration to a particular person, group, or event.
-
E.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a0191d96dc88190ac0823e534f9d704 |
completed | May 11, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_6a01908110448190a46442ffe4d15f5f |
completed | May 11, 2026, 8:17 a.m. |
Created at: April 28, 2026, 11:57 a.m.