Triple
T22934965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indochina dry forests |
E569554
|
entity |
| Predicate | hasCanopyPhenology |
P35423
|
FINISHED |
| Object | seasonally leafless 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: seasonally leafless canopy | Statement: [Indochina dry forests, hasCanopyPhenology, seasonally leafless canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanopyPhenology Context triple: [Indochina dry forests, hasCanopyPhenology, seasonally leafless canopy]
-
A.
hasCanopyDensity
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.
leafPhenology
chosen
Indicates the timing and pattern of leaf developmental stages (such as budburst, expansion, coloration, and fall) in relation to environmental or seasonal conditions.
-
D.
canopyShape
Indicates the characteristic form or outline of a canopy as it appears in its spatial extent or profile.
-
E.
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.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.