Triple
T31631454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funtensee |
E807176
|
entity |
| Predicate | waterOutflowType |
P3833
|
FINISHED |
| Object | subterranean drainage |
—
|
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: subterranean drainage | Statement: [Funtensee, waterOutflowType, subterranean drainage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterOutflowType Context triple: [Funtensee, waterOutflowType, subterranean drainage]
-
A.
drainageType
chosen
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
B.
waterFlowsThrough
Indicates that water moves along a path or channel passing from one location or object to another.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
E.
drainageOutlet
Indicates that one entity serves as the point where fluids or runoff are discharged or exit from another entity.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 30, 2026, 10:45 p.m.