Triple
T26991843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publish–Subscribe pattern |
E679878
|
entity |
| Predicate | decouplesInDimension |
P161750
|
FINISHED |
| Object | space |
—
|
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: space | Statement: [Publish–Subscribe pattern, decouplesInDimension, space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decouplesInDimension Context triple: [Publish–Subscribe pattern, decouplesInDimension, space]
-
A.
dimensionSplit
Indicates that a single dimension or measure is divided into multiple separate components or sub-dimensions.
-
B.
integratesDimension
Indicates that one entity combines or incorporates a particular dimension or aspect into a larger whole or system.
-
C.
dimensionIndependent
Indicates that the relationship or property holds regardless of the number or choice of dimensions involved.
-
D.
dimension
Indicates that one entity specifies a measurable extent or size attribute (such as length, width, height, or similar quantitative property) of another entity.
-
E.
formationDimension
Indicates the dimensional characteristics (such as size, scale, or extent) associated with the formation of something.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6218fc6308190b1e3317de86703db |
completed | May 2, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 6:52 a.m.