Triple
T25270636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS Landranger 110 |
E633557
|
entity |
| Predicate | mapScaleType |
P63248
|
FINISHED |
| Object | small-scale topographic map |
—
|
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: small-scale topographic map | Statement: [OS Landranger 110, mapScaleType, small-scale topographic map]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapScaleType Context triple: [OS Landranger 110, mapScaleType, small-scale topographic map]
-
A.
mapScale
Indicates the ratio between distances on a map and the corresponding actual distances in the real world.
-
B.
mapScaleCategory
chosen
Indicates the classification of a map based on its scale range or level of detail.
-
C.
mapsType
Indicates that one entity serves as a mapping whose values or outputs are of the specified type.
-
D.
cartographicType
Indicates the specific kind or category of cartographic representation associated with an entity (e.g., map type or mapping style).
-
E.
distanceScaleUse
Indicates that one entity uses or applies the distance scale defined or provided by another entity.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48ba1a1f88190b3db79ec06bfa994 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:16 p.m.