Triple
T21399383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS Landranger 160 |
E527869
|
entity |
| Predicate | cartographicStandard |
P143824
|
FINISHED |
| Object | Ordnance Survey national grid |
—
|
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: Ordnance Survey national grid | Statement: [OS Landranger 160, cartographicStandard, Ordnance Survey national grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cartographicStandard Context triple: [OS Landranger 160, cartographicStandard, Ordnance Survey national grid]
-
A.
cartographicFormat
Indicates the specific cartographic representation or format in which spatial or map-related information is expressed.
-
B.
cartographicNotation
Indicates the specific symbols, labels, or graphical conventions used to represent geographic features or spatial information on a map.
-
C.
cartographicType
Indicates the specific kind or category of cartographic representation associated with an entity (e.g., map type or mapping style).
-
D.
cartographicUse
Indicates the way in which something is used or intended to be used within a cartographic or map-making context.
-
E.
cartographicWork
Indicates a relationship where one entity is a cartographic work (such as a map or chart) that represents geographic information about another entity.
- F. None of above. chosen
Provenance (4 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16d9f008190bbf6199ff6952cb3 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:14 p.m.