Triple
T38178042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badger, Minnesota |
E1000269
|
entity |
| Predicate | borderedByWatercourse |
P86882
|
FINISHED |
| Object | Badger Creek |
—
|
NE NERFINISHED |
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: Badger Creek | Statement: [Badger, Minnesota, borderedByWatercourse, Badger Creek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderedByWatercourse Context triple: [Badger, Minnesota, borderedByWatercourse, Badger Creek]
-
A.
isOnWatercourse
Indicates that one entity is situated directly on, above, or along the path of a watercourse such as a river, stream, or canal.
-
B.
riverFormsBorderWith
Indicates that a river serves as a boundary line between two geographic or political entities.
-
C.
borderedBySeaViaRiverMouth
Indicates that a place is bordered by the sea specifically at the point where a river flows into it (its river mouth).
-
D.
isOnBorderRiver
Indicates that something is located along or directly adjacent to a river that forms a border between areas.
-
E.
isWatercourseOf
chosen
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
Created at: May 3, 2026, 4:29 p.m.