Triple
T17559610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAMP stack |
E427664
|
entity |
| Predicate | supportsServerSideScripting |
P127937
|
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, supportsServerSideScripting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsServerSideScripting Context triple: [LAMP stack, supportsServerSideScripting, true]
-
A.
supportsDatabaseConnectivity
Indicates that an entity provides the capability to establish and maintain connections to a database system.
-
B.
canBeScripted
Indicates that the action or behavior can be defined, controlled, or automated through a script or scripting mechanism.
-
C.
supportsJavaScriptAPIs
Indicates that one entity provides or is compatible with JavaScript-based application programming interfaces for use by another entity.
-
D.
usesServerType
Indicates that an entity operates on, is hosted by, or otherwise relies on a specific type or category of server.
-
E.
supportsUserDefinedFunctions
Indicates that an entity allows the creation, registration, and execution of user-defined functions within its operations or environment.
- 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_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. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.