Triple
T15739393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Senate districts |
E381560
|
entity |
| Predicate | cartographicallyRepresentedAs |
P95647
|
FINISHED |
| Object | district maps |
—
|
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: district maps | Statement: [Wisconsin Senate districts, cartographicallyRepresentedAs, district maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cartographicallyRepresentedAs Context triple: [Wisconsin Senate districts, cartographicallyRepresentedAs, district maps]
-
A.
geographicalRepresentation
Indicates that one entity serves as a geographic depiction, model, or mapping of another entity’s location, area, or spatial characteristics.
-
B.
cartographyBy
Indicates that one entity is the creator or producer of the cartographic work (such as a map or chart) associated with another entity.
-
C.
cartographicWork
chosen
Indicates a relationship where one entity is a cartographic work (such as a map or chart) that represents geographic information about another entity.
-
D.
cartographicSource
Indicates the map, chart, or other cartographic resource from which the described information or representation is derived.
-
E.
regionRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific geographic or spatial region associated with 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.