Triple
T2924218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurisilva forest |
E78803
|
entity |
| Predicate | hasCanopyCover |
P26003
|
FINISHED |
| Object | closed canopy |
—
|
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: closed canopy | Statement: [Laurisilva forest, hasCanopyCover, closed canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanopyCover Context triple: [Laurisilva forest, hasCanopyCover, closed canopy]
-
A.
hasCanopyDensity
chosen
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
-
B.
hasCanopy
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
C.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
-
D.
hasTrees
Indicates that something possesses or contains one or more trees.
-
E.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.