Triple
T8694030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackwater River (Florida) |
E206360
|
entity |
| Predicate | hasRiverbedType |
P84230
|
FINISHED |
| Object | sandy bottom |
—
|
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: sandy bottom | Statement: [Blackwater River (Florida), hasRiverbedType, sandy bottom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverbedType Context triple: [Blackwater River (Florida), hasRiverbedType, sandy bottom]
-
A.
hasRiverPortStatus
Indicates that an entity holds the status of having a river port, meaning it is officially recognized as a location where river-based shipping or transport operations occur.
-
B.
hasReedType
Indicates that one entity is associated with, or characterized by, a particular type or classification of reed.
-
C.
hasTributaryType
Indicates that one watercourse is classified as a specific type of tributary in relation to another water body.
-
D.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
E.
hasBoardType
Indicates that an entity is associated with or uses a specific type or category of board.
- F. None of above. chosen
Provenance (4 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5826bbb48190a212fb1bb06e05e6 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc483f06f48190879f4702c8b4ed00 |
completed | March 31, 2026, 10:18 p.m. |
Created at: March 30, 2026, 6:33 p.m.