Triple
T19561059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Island ice cap |
E489449
|
entity |
| Predicate | hasTopographicEffect |
P136584
|
FINISHED |
| Object | smooths underlying relief |
—
|
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: smooths underlying relief | Statement: [Clarence Island ice cap, hasTopographicEffect, smooths underlying relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopographicEffect Context triple: [Clarence Island ice cap, hasTopographicEffect, smooths underlying relief]
-
A.
hasTopographicContext
Indicates that one entity is related to or characterized by a particular topographic or physical landscape context.
-
B.
topographyBasedOn
Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of another entity.
-
C.
topographicMap
Indicates a mapping relationship where a representation shows the physical terrain features and elevation contours of a geographic area.
-
D.
topographicSignificance
Indicates the degree to which a geographic feature stands out or is prominent in the surrounding terrain based on its elevation and relief.
-
E.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f7442e08190ad030151ec0a97d4 |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51796b4c48190b721114dde654bd7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 1:42 p.m.