Triple
T34595173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stddef.h |
E888287
|
entity |
| Predicate | rsize_tIsUsedFor |
P2506
|
FINISHED |
| Object | bounded-size interfaces in C11 Annex K |
—
|
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: bounded-size interfaces in C11 Annex K | Statement: [stddef.h, rsize_tIsUsedFor, bounded-size interfaces in C11 Annex K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rsize_tIsUsedFor Context triple: [stddef.h, rsize_tIsUsedFor, bounded-size interfaces in C11 Annex K]
-
A.
spaceUsage
Indicates how much physical or storage space is occupied or utilized by an entity relative to the total available space.
-
B.
stateSizeBytes
Indicates the size of a given state or stateful data in terms of the number of bytes it occupies.
-
C.
scaleUsed
Indicates that a particular scale or measurement system is employed in performing, recording, or interpreting an action or relationship.
-
D.
usesAllocationBlockSize
Indicates that one entity operates with or depends on a specific allocation block size defined or provided by another entity.
-
E.
isUsedAs
chosen
Indicates that one entity serves a particular function, role, or purpose as another entity.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.