Triple
T13075022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier du Tour |
E329549
|
entity |
| Predicate | hasSurfaceChange |
P38840
|
FINISHED |
| Object | thinning |
—
|
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: thinning | Statement: [Glacier du Tour, hasSurfaceChange, thinning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceChange Context triple: [Glacier du Tour, hasSurfaceChange, thinning]
-
A.
hasSurfaceActivity
Indicates that an entity exhibits measurable physical or chemical activity occurring at or on its surface.
-
B.
surfaceChange
chosen
Indicates a change in the physical surface characteristics or condition of an entity over time or due to some event or interaction.
-
C.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
D.
hasSurfaceSections
Indicates that an entity is composed of or divided into distinct sections or parts of its surface.
-
E.
hasResultingChange
Indicates that one entity causes or leads to a specific change or transformation in another entity or state.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9 p.m.