Triple
T9568885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillsborough |
E230861
|
entity |
| Predicate | hasTreeCoverage |
P6742
|
FINISHED |
| Object | extensive urban forest |
—
|
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: extensive urban forest | Statement: [Hillsborough, hasTreeCoverage, extensive urban forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTreeCoverage Context triple: [Hillsborough, hasTreeCoverage, extensive urban forest]
-
A.
hasTreeCanopyProtection
Indicates that an entity is subject to rules or measures that preserve, limit removal of, or otherwise protect the tree canopy associated with it.
-
B.
hasTree
Indicates that one entity possesses, contains, or is associated with a tree.
-
C.
hasCoverage
Indicates that one entity provides insurance or protection coverage for another entity or subject.
-
D.
hasTrees
chosen
Indicates that something possesses or contains one or more trees.
-
E.
hasTreeVigor
Indicates the assessed strength, health, and growth potential of a tree in relation to its current condition or environment.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.