Triple
T38147733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNIVAC II |
E952664
|
entity |
| Predicate | expandableMemoryCapacity |
P32212
|
FINISHED |
| Object | 10000 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: 10000 words | Statement: [UNIVAC II, expandableMemoryCapacity, 10000 words]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandableMemoryCapacity Context triple: [UNIVAC II, expandableMemoryCapacity, 10000 words]
-
A.
expandableRAM
Indicates that a device’s RAM can be increased beyond its original capacity, typically by adding or upgrading memory modules.
-
B.
expandableCapacity
chosen
Indicates that an entity’s capacity can be increased beyond its initial or default level, typically through additional resources, components, or configuration.
-
C.
storageExpandableVia
Indicates that an entity’s storage capacity can be increased using the specified method, interface, or medium.
-
D.
expandedCapacity
Indicates that an entity’s capacity has been increased beyond its previous or standard level.
-
E.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:21 p.m.