Triple
T3142121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Pico |
E65673
|
entity |
| Predicate | hasSlopeVegetation |
P949
|
FINISHED |
| Object | Atlantic heath |
—
|
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: Atlantic heath | Statement: [Mount Pico, hasSlopeVegetation, Atlantic heath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSlopeVegetation Context triple: [Mount Pico, hasSlopeVegetation, Atlantic heath]
-
A.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
B.
vegetation
chosen
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
C.
hasCanopyDensity
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
-
D.
hasSettlementOnSlopes
Indicates that a settlement is located on or extends across the slopes of a landform such as a hill or mountain.
-
E.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada579b07c8190a7b316f499911a2d |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.