Triple
T6327696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real-time Kinematic Positioning |
E141899
|
entity |
| Predicate | usesMeasurementType |
P47085
|
FINISHED |
| Object | carrier-phase measurements |
—
|
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: carrier-phase measurements | Statement: [Real-time Kinematic Positioning, usesMeasurementType, carrier-phase measurements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMeasurementType Context triple: [Real-time Kinematic Positioning, usesMeasurementType, carrier-phase measurements]
-
A.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
B.
usesMeasurementSystem
Indicates that one entity adopts or applies a particular system of measurement defined by another entity.
-
C.
measureType
chosen
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
D.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
-
E.
usesMetric
Indicates that one entity adopts, applies, or relies on a particular metric or measurement standard in its operation, evaluation, or description.
- 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.