Triple
T3117452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rwenzori Mountains |
E65095
|
entity |
| Predicate | vegetationZones |
P949
|
FINISHED |
| Object | montane forest |
—
|
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: montane forest | Statement: [Rwenzori Mountains, vegetationZones, montane forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vegetationZones Context triple: [Rwenzori Mountains, vegetationZones, montane forest]
-
A.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
B.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
C.
vegetation
chosen
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
D.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
E.
ecoregionsInclude
Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e73cc88190846ef37ccf1a0de7 |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.