Triple
T17559609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAMP stack |
E427664
|
entity |
| Predicate | supportsDynamicContent |
P74462
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [LAMP stack, supportsDynamicContent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDynamicContent Context triple: [LAMP stack, supportsDynamicContent, true]
-
A.
supportsOnlineContent
chosen
Indicates that one entity provides the infrastructure, functionality, or capability for another entity to host, deliver, or interact with content over the internet.
-
B.
supportsDynamicCaching
Indicates that an entity is capable of enabling or handling caching behavior that can change or be configured dynamically at runtime.
-
C.
supportsContentBrands
Indicates that one entity provides functionality, compatibility, or infrastructure necessary for the operation or distribution of specific content brands.
-
D.
hasDynamics
Indicates that one entity exhibits or is characterized by specific dynamic behavior, changes, or variations over time in relation to another entity or context.
-
E.
isPartOfDynamically
Indicates that one entity is currently a component or member of another entity in a way that can change over time or at runtime.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562573e48190a19f30fe915a5455 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.