Triple
T31016863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahlonega gold mining district |
E790345
|
entity |
| Predicate | approximateCoordinateRegion |
P10760
|
FINISHED |
| Object | 34.5°N 84.0°W |
—
|
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: 34.5°N 84.0°W | Statement: [Dahlonega gold mining district, approximateCoordinateRegion, 34.5°N 84.0°W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateCoordinateRegion Context triple: [Dahlonega gold mining district, approximateCoordinateRegion, 34.5°N 84.0°W]
-
A.
approximationRegion
Indicates a region or range within which a value, object, or condition is considered an acceptable approximation of a reference or target.
-
B.
hasApproximateCoordinates
chosen
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
C.
coordinateRegion
Indicates that one region is geographically or spatially aligned with, or corresponds to, another region within a shared coordinate framework.
-
D.
coordinateRegionWith
Indicates that one entity aligns or harmonizes its regional scope, boundaries, or parameters with those of another entity.
-
E.
regionCorrespondsRoughlyTo
Indicates that one region approximately matches or aligns with another in location, extent, or boundaries, but not with precise or exact correspondence.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: April 29, 2026, 8:58 p.m.