Triple
T17559611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAMP stack |
E427664
|
entity |
| Predicate | isCrossPlatformOnClientSide |
P127938
|
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, isCrossPlatformOnClientSide, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCrossPlatformOnClientSide Context triple: [LAMP stack, isCrossPlatformOnClientSide, true]
-
A.
isMultiplatform
Indicates that something is designed to operate or be available across multiple platforms or environments.
-
B.
crossPlatformWith
Indicates that two systems, applications, or components are compatible with or operate across multiple platforms together.
-
C.
hasTargetPlatform
Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
-
D.
hasCrossPlatformInterchange
Indicates that there is a transfer point where passengers can switch between different transportation platforms or modes within the same location.
-
E.
consideredPlatform
Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
- 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.