Triple
T36526769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vosges forests |
E900326
|
entity |
| Predicate | lowerSlopesCharacterizedBy |
P185814
|
FINISHED |
| Object | mixed deciduous 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: mixed deciduous forest | Statement: [Vosges forests, lowerSlopesCharacterizedBy, mixed deciduous forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerSlopesCharacterizedBy Context triple: [Vosges forests, lowerSlopesCharacterizedBy, mixed deciduous forest]
-
A.
lowerInclinationAngle
Indicates that one entity has a smaller or more downward-tilted inclination angle compared to another entity.
-
B.
lowerAspectAssociatedWith
Indicates an association where one aspect is linked to, influenced by, or functionally related to a lower-level or subordinate aspect.
-
C.
slopeAngleLowerSection
Indicates the angle of inclination of the lower section of an object or surface relative to a reference plane or direction.
-
D.
isDownwardSlopingIn
Indicates that a quantity or function decreases as the specified variable or dimension increases within a given context.
-
E.
lowestSide
Indicates that one side of an object or shape has the smallest length compared to all its other sides.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.