Triple
T20893209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Roger |
E514459
|
entity |
| Predicate | cartographicOrientation |
P141600
|
FINISHED |
| Object | south-up |
—
|
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: south-up | Statement: [The Book of Roger, cartographicOrientation, south-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cartographicOrientation Context triple: [The Book of Roger, cartographicOrientation, south-up]
-
A.
latitudinalOrientation
Indicates the relative east–west positioning or alignment of one entity with respect to another based on latitude.
-
B.
cartographicContext
Indicates the mapping or geographic framework within which something is spatially represented or interpreted.
-
C.
cartographicType
Indicates the specific kind or category of cartographic representation associated with an entity (e.g., map type or mapping style).
-
D.
cartographicFormat
Indicates the specific cartographic representation or format in which spatial or map-related information is expressed.
-
E.
cartographyBy
Indicates that one entity is the creator or producer of the cartographic work (such as a map or chart) associated with 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05fecd88190905a0ea80a24406a |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:46 p.m.