Triple
T32013557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KL10 |
E817471
|
entity |
| Predicate | sectionedAddressSpace |
P173493
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [KL10, sectionedAddressSpace, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionedAddressSpace Context triple: [KL10, sectionedAddressSpace, yes]
-
A.
sectionAddressed
Indicates that a specific section or part of a document, text, or resource is being referred to, targeted, or dealt with by an action or statement.
-
B.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
C.
wordAddressable
Indicates that data in a memory or storage system can be individually accessed and manipulated at the granularity of single words rather than larger blocks or bytes.
-
D.
memoryRegion
Indicates a relationship where one entity represents or refers to a specific region or segment within a larger memory space.
-
E.
seedSpace
Indicates a relationship where an entity provides or occupies an initial area, context, or capacity from which growth, development, or further allocation can begin.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:15 a.m.