Triple
T31292390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS Landranger 135 |
E797973
|
entity |
| Predicate | includesTopography |
P202989
|
FINISHED |
| Object | contour lines |
—
|
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: contour lines | Statement: [OS Landranger 135, includesTopography, contour lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTopography Context triple: [OS Landranger 135, includesTopography, contour lines]
-
A.
hasTopographicEffect
Indicates that one entity causes or contributes to a change or influence on the physical terrain or topography of another entity or area.
-
B.
topographyBasedOn
Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of another entity.
-
C.
hasTopographicContext
Indicates that one entity is related to or characterized by a particular topographic or physical landscape context.
-
D.
associatedTopography
Indicates a relationship where one entity is linked or connected to a particular topographical feature or terrain.
-
E.
topographicSignificance
Indicates the degree to which a geographic feature stands out or is prominent in the surrounding terrain based on its elevation and relief.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
| PDg | Predicate description generation | batch_6a00d8b8eac08190809c78998e09c47c |
completed | May 10, 2026, 7:12 p.m. |
Created at: April 29, 2026, 9:14 p.m.