Triple
T5338565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Copais |
E123885
|
entity |
| Predicate | drainageResult |
P63074
|
FINISHED |
| Object | creation of fertile plain |
—
|
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: creation of fertile plain | Statement: [Lake Copais, drainageResult, creation of fertile plain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageResult Context triple: [Lake Copais, drainageResult, creation of fertile plain]
-
A.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
B.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
C.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
-
D.
drainageRole
Indicates the functional role an entity plays in a drainage system, such as directing, collecting, or removing water or other fluids.
-
E.
drainageDivideOf
Indicates that one geographic feature functions as the drainage divide (separating water flow into different basins) for another feature or area.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2 p.m.