Triple
T1550932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mall and Literary Walk |
E33087
|
entity |
| Predicate | hasTreeSpecies |
P966
|
FINISHED |
| Object | American elm |
—
|
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: American elm | Statement: [The Mall and Literary Walk, hasTreeSpecies, American elm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTreeSpecies Context triple: [The Mall and Literary Walk, hasTreeSpecies, American elm]
-
A.
hasTrees
Indicates that something possesses or contains one or more trees.
-
B.
notableTreeSpecies
chosen
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
C.
hasTree
Indicates that one entity possesses, contains, or is associated with a tree.
-
D.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
-
E.
isConifer
Indicates that the subject is a coniferous plant, typically bearing cones and having needle-like or scale-like evergreen leaves.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.