Triple
T29116476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chickamauga Campaign |
E737057
|
entity |
| Predicate | associatedRiverOrCreek |
—
|
GENERATED |
| Object | Chickamauga Creek |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRiverOrCreek Context triple: [Chickamauga Campaign, associatedRiverOrCreek, Chickamauga Creek]
-
A.
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.
-
B.
associatedRiverJourney
Indicates a relationship where an entity is linked to, or involved in, a particular journey or travel event that takes place on or along a specific river.
-
C.
raceRiver
Indicates that an entity participates in a race that takes place on or along a river.
-
D.
locatedOnTributaryOf
Indicates that one entity is situated along or on the banks of a tributary that flows into another specified water body.
-
E.
associatedRiverBasin
Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
- F. None of above.
Provenance (1 batch)
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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 28, 2026, 11:22 a.m.