Triple
T200798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomon Islands rain forests |
E4099
|
entity |
| Predicate | hasCanopyStructure |
P841
|
FINISHED |
| Object | dense 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: dense closed canopy | Statement: [Solomon Islands rain forests, hasCanopyStructure, dense closed canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanopyStructure Context triple: [Solomon Islands rain forests, hasCanopyStructure, dense closed canopy]
-
A.
hasTree
Indicates that one entity possesses, contains, or is associated with a tree.
-
B.
hasTrees
Indicates that something possesses or contains one or more trees.
-
C.
isMonumentalTree
Indicates that a tree is officially recognized as exceptionally significant, typically due to its age, size, rarity, historical, cultural, or ecological importance.
-
D.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
E.
hasIconicStructure
Indicates that an entity possesses a structure or feature that is widely recognized as emblematic or symbolically representative of it.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.