Triple
T14072442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Warrior River |
E338642
|
entity |
| Predicate | navigationChannelDepth |
P55961
|
FINISHED |
| Object | approximately 9 feet |
—
|
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: approximately 9 feet | Statement: [Black Warrior River, navigationChannelDepth, approximately 9 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navigationChannelDepth Context triple: [Black Warrior River, navigationChannelDepth, approximately 9 feet]
-
A.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
B.
hasChannelDepth
chosen
Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
-
C.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
D.
seaDepthRange
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
E.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.