Triple
T20633834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS Landranger 47 |
E507023
|
entity |
| Predicate | mapSeriesScale |
P62522
|
FINISHED |
| Object | 1:50000 Landranger series |
—
|
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: 1:50000 Landranger series | Statement: [OS Landranger 47, mapSeriesScale, 1:50000 Landranger series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapSeriesScale Context triple: [OS Landranger 47, mapSeriesScale, 1:50000 Landranger series]
-
A.
mapSeries
Indicates applying a function to each item in a collection one after another, where each step waits for the previous one to finish before proceeding.
-
B.
mapScale
chosen
Indicates the ratio between distances on a map and the corresponding actual distances in the real world.
-
C.
mapSeriesOf
Indicates a relationship where one series is systematically associated or transformed into another series, preserving the order of elements.
-
D.
mapScaleCategory
Indicates the classification of a map based on its scale range or level of detail.
-
E.
mapSeriesUsingSystem
Indicates performing a sequence of mapping operations over items one after another, using a specified system or system-defined process to handle each step.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0d808c81908a60abd02a22ed92 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.