Triple
T8746274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk Island pine forests |
E207834
|
entity |
| Predicate | canopyStructure |
P8429
|
FINISHED |
| Object | multi-layered with Araucaria emergents |
—
|
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: multi-layered with Araucaria emergents | Statement: [Norfolk Island pine forests, canopyStructure, multi-layered with Araucaria emergents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canopyStructure Context triple: [Norfolk Island pine forests, canopyStructure, multi-layered with Araucaria emergents]
-
A.
hasCanopyDensity
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
-
B.
canopyPosition
Indicates the relative location or layer an entity occupies within a canopy structure (e.g., upper, middle, or lower canopy).
-
C.
hasCanopy
chosen
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
D.
speciesStructure
Indicates the structural or organizational characteristics that define how a species is composed or arranged.
-
E.
treeHabit
Indicates the growth form or structural habit characteristic of a tree, such as its typical shape, branching pattern, or overall stature.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.