Triple
T10978987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine River (Wisconsin) |
E259448
|
entity |
| Predicate | geographicFeatureCategory |
P9677
|
FINISHED |
| Object | inland river |
—
|
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: inland river | Statement: [Pine River (Wisconsin), geographicFeatureCategory, inland river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicFeatureCategory Context triple: [Pine River (Wisconsin), geographicFeatureCategory, inland river]
-
A.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
B.
topographicalCategory
Indicates the type of landform or surface feature that characterizes the physical terrain associated with an entity.
-
C.
refersToGeographicFeature
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
-
D.
GNISFeatureClass
chosen
Indicates the categorical type or class assigned to a geographic feature in the Geographic Names Information System (GNIS).
-
E.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f7b874819087bf5a858905279b |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.