Triple
T28533525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Positioning System satellites |
E722101
|
entity |
| Predicate | provideAccuracy |
P62233
|
FINISHED |
| Object | meter-level accuracy for civilian users |
—
|
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: meter-level accuracy for civilian users | Statement: [Global Positioning System satellites, provideAccuracy, meter-level accuracy for civilian users]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provideAccuracy Context triple: [Global Positioning System satellites, provideAccuracy, meter-level accuracy for civilian users]
-
A.
hasAccuracy
chosen
Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
-
B.
curacy
Indicates that one entity serves in the role or position of a curate (assistant clergy) in relation to another entity, typically a parish or church.
-
C.
accuracyDependsOn
Indicates that the accuracy of one entity or process is contingent upon, or influenced by, another entity or factor.
-
D.
hasSurfaceAccuracy
Indicates that one entity possesses a specified degree or measure of accuracy related to its surface characteristics or representation.
-
E.
typicalHorizontalAccuracy
Indicates the usual or expected degree of precision in the horizontal (x–y) position of a measurement or location estimate.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 28, 2026, 3:30 a.m.