Triple
T30759738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkner Island |
E783196
|
entity |
| Predicate | subglacialTopography |
P170100
|
FINISHED |
| Object | bedrock lies below sea level |
—
|
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: bedrock lies below sea level | Statement: [Berkner Island, subglacialTopography, bedrock lies below sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subglacialTopography Context triple: [Berkner Island, subglacialTopography, bedrock lies below sea level]
-
A.
hasSubglacialEnvironment
Indicates that something possesses or is associated with an environment located beneath a glacier or ice sheet.
-
B.
hasSubglacialLake
Indicates that a glacier or ice sheet contains a lake of liquid water located beneath its ice.
-
C.
glaciologicalRegion
Indicates the geographic area or zone defined and studied in relation to glaciers and glacial processes.
-
D.
glaciologicalZone
Indicates the specific glaciological region or zone within or around a glacier in which a process, condition, or classification applies.
-
E.
glaciologicalRole
Indicates the specific function, activity, or responsibility an entity has within the study or processes of glaciers and ice.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f9a8f888190b7b14dc5b0bc86ca |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:39 p.m.