Triple
T26655437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellichgletscher |
E666485
|
entity |
| Predicate | naturalFeatureOfType |
P52634
|
FINISHED |
| Object | mountain glacier |
—
|
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: mountain glacier | Statement: [Mellichgletscher, naturalFeatureOfType, mountain glacier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalFeatureOfType Context triple: [Mellichgletscher, naturalFeatureOfType, mountain glacier]
-
A.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
B.
isNaturalFeature
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
-
C.
physicalFeature
Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
-
D.
geographicalNature
chosen
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
E.
naturalAttractionOf
Indicates a relationship where one entity is a natural feature or site that draws interest, attention, or visitors from another entity.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 2:34 a.m.