Triple
T35951731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauca guan |
E1039744
|
entity |
| Predicate | forestStratum |
P184267
|
FINISHED |
| Object | 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: canopy | Statement: [Cauca guan, forestStratum, canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forestStratum Context triple: [Cauca guan, forestStratum, canopy]
-
A.
treeHabit
Indicates the growth form or structural habit characteristic of a tree, such as its typical shape, branching pattern, or overall stature.
-
B.
Forest
Indicates that an entity is located in, associated with, or characterized as being within a forested area.
-
C.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
D.
isForested
Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
-
E.
forestDistrict
Indicates that one entity functions as the forest district or forest management administrative unit responsible for the other entity.
- F. None of above. chosen
Provenance (4 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.