Triple
T251164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's Magnolia Golf Course |
E5148
|
entity |
| Predicate | hasSignatureTrees |
P6742
|
FINISHED |
| Object | magnolia trees |
—
|
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: magnolia trees | Statement: [Disney's Magnolia Golf Course, hasSignatureTrees, magnolia trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureTrees Context triple: [Disney's Magnolia Golf Course, hasSignatureTrees, magnolia trees]
-
A.
hasTree
Indicates that one entity possesses, contains, or is associated with a tree.
-
B.
hasOfficialStateTree
Indicates that a political entity has a designated tree recognized as its official state symbol.
-
C.
usedInSignatureOf
Indicates that something (such as a type, parameter, or construct) appears as part of the formal signature of a function, method, or similar callable entity.
-
D.
isNamedTree
Indicates that the entity is a tree that has been given a specific name or designation.
-
E.
hasTrees
chosen
Indicates that something possesses or contains one or more trees.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d38aba8819081d0958eb60ce27e |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.