Triple
T9158593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Lakes to Gulf Coast |
E219765
|
entity |
| Predicate | northernExtent |
P38526
|
FINISHED |
| Object | upper Great Lakes region |
—
|
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: upper Great Lakes region | Statement: [Great Lakes to Gulf Coast, northernExtent, upper Great Lakes region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: northernExtent Context triple: [Great Lakes to Gulf Coast, northernExtent, upper Great Lakes region]
-
A.
formsNorthernExtentOf
chosen
Indicates that one entity constitutes or defines the northernmost boundary or limit of another entity.
-
B.
northernBoundaryExtendedTo
Indicates that the northern boundary of one entity has been lengthened or expanded to reach or include another specified reference point or area.
-
C.
isNorthernmost
Indicates that one entity is located farther north than all other comparable entities in a given set or region.
-
D.
isNorthernmostRegionOf
Indicates that one region is the geographically furthest north among all regions within a specified larger area or entity.
-
E.
northTerminusType
Indicates the type or nature of the northern endpoint or terminus of a route, line, or similar linear feature.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d805588190a0deadda1dd410a1 |
completed | April 1, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.