Triple
T5820248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordnance Survey National Grid |
E129089
|
entity |
| Predicate | gridSquareSize |
P7759
|
FINISHED |
| Object | 100 km |
—
|
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: 100 km | Statement: [Ordnance Survey National Grid, gridSquareSize, 100 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridSquareSize Context triple: [Ordnance Survey National Grid, gridSquareSize, 100 km]
-
A.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
B.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
C.
fieldSize
chosen
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
D.
grainSize
Indicates the relative coarseness or fineness of the material or particles involved in the relationship.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.