Triple
T27755239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SysV message queues |
E701317
|
entity |
| Predicate | usesHeaderStructure |
P111407
|
FINISHED |
| Object | msqid_ds |
—
|
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: msqid_ds | Statement: [SysV message queues, usesHeaderStructure, msqid_ds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHeaderStructure Context triple: [SysV message queues, usesHeaderStructure, msqid_ds]
-
A.
belongsToHeader
chosen
Indicates that something is associated with, contained within, or conceptually grouped under a specific header.
-
B.
usesHeadFrom
Indicates that one entity employs or incorporates the head component of another entity in its structure or function.
-
C.
haveStructure
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
D.
hasStructuralStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
-
E.
hasHeading
Indicates that one entity serves as a heading or title for 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6375fa0bc8190be257d4d5eaa6dc7 |
completed | May 2, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:23 p.m.