Triple
T1191051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Lawn of the White House |
E25358
|
entity |
| Predicate | designedAsPartOf |
P840
|
FINISHED |
| Object | White House landscape plan |
—
|
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: White House landscape plan | Statement: [South Lawn of the White House, designedAsPartOf, White House landscape plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedAsPartOf Context triple: [South Lawn of the White House, designedAsPartOf, White House landscape plan]
-
A.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
B.
adoptedAsPartOf
Indicates that one entity has been taken in, integrated, or accepted as a component or member within another entity or larger whole.
-
C.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
D.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
E.
partOfSystem
chosen
Indicates that one entity functions as a component or subsystem within the structure or organization of 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.