Triple
T1270683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miage Glacier |
E15700
|
entity |
| Predicate | hasMoraineType |
P28058
|
FINISHED |
| Object | lateral moraine |
—
|
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: lateral moraine | Statement: [Miage Glacier, hasMoraineType, lateral moraine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoraineType Context triple: [Miage Glacier, hasMoraineType, lateral moraine]
-
A.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
B.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
C.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
D.
hasHighestPointType
Indicates that the highest point of an entity is of a specified type or category.
-
E.
hasMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c0691d70819088e57c78ff34af1e |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.