Triple
T13489790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt Island (Antarctica) |
E318602
|
entity |
| Predicate | iceCoreDepth |
P87151
|
FINISHED |
| Object | approximately 764 metres |
—
|
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: approximately 764 metres | Statement: [Roosevelt Island (Antarctica), iceCoreDepth, approximately 764 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceCoreDepth Context triple: [Roosevelt Island (Antarctica), iceCoreDepth, approximately 764 metres]
-
A.
depth
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
-
B.
depthBelowSurfaceInMeters
chosen
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
C.
summitDepth
Indicates the vertical distance from a summit’s highest point down to a specified reference level, such as a base or surrounding terrain.
-
D.
testDepth
Indicates that an entity is evaluated or measured based on how deep or thorough it is, often in terms of levels, layers, or extent below a surface or baseline.
-
E.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.