Triple
T638691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WGS84 |
E16682
|
entity |
| Predicate | flattening |
P18363
|
FINISHED |
| Object | 0.0033528106647474805 |
—
|
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: 0.0033528106647474805 | Statement: [WGS84, flattening, 0.0033528106647474805]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flattening Context triple: [WGS84, flattening, 0.0033528106647474805]
-
A.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
B.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
depth
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
-
D.
refloated
Indicates that something previously afloat but no longer buoyant has been returned to a floating condition, typically by refilling with air or restoring buoyancy.
-
E.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a4a1794a60819092b3dc3344426ed7 |
completed | March 1, 2026, 8:28 p.m. |
Created at: March 1, 2026, 7:35 p.m.