Triple
T6327689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Differential GPS |
E141898
|
entity |
| Predicate | errorGrowthWithDistance |
P34883
|
FINISHED |
| Object | increases with baseline length |
—
|
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: increases with baseline length | Statement: [Differential GPS, errorGrowthWithDistance, increases with baseline length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorGrowthWithDistance Context triple: [Differential GPS, errorGrowthWithDistance, increases with baseline length]
-
A.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
B.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
C.
errorPropagation
chosen
Indicates how an error in one component, process, or variable is transmitted to and affects other components, processes, or variables in a system.
-
D.
distanceChange
Indicates a change in the spatial distance between two entities over time.
-
E.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.