Triple
T12772723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordnance Survey National Grid |
E305285
|
entity |
| Predicate | coordinateDimension |
P6122
|
FINISHED |
| Object | 2D |
—
|
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: 2D | Statement: [Ordnance Survey National Grid, coordinateDimension, 2D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateDimension Context triple: [Ordnance Survey National Grid, coordinateDimension, 2D]
-
A.
dimensionCount
chosen
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
-
B.
formationDimension
Indicates the dimensional characteristics (such as size, scale, or extent) associated with the formation of something.
-
C.
coordinateComponent
Indicates that one entity is a component or part of a larger coordinated structure or system involving the other entity.
-
D.
coordinateAxis
Indicates that one entity serves as a reference axis or directional basis for positioning, measuring, or orienting another entity in a coordinate system.
-
E.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.