Triple
T20773110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopaida |
E511284
|
entity |
| Predicate | wasDrainedBy |
P115513
|
FINISHED |
| Object | artificial canals |
—
|
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: artificial canals | Statement: [Kopaida, wasDrainedBy, artificial canals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDrainedBy Context triple: [Kopaida, wasDrainedBy, artificial canals]
-
A.
drainedFrom
Indicates that a substance, resource, or liquid has been removed or emptied out from a particular source or container.
-
B.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
C.
drainedFor
Indicates that a resource, substance, or energy is removed from one entity for the benefit, use, or purpose of another entity.
-
D.
drainsAreaOf
chosen
Indicates that one entity serves as a drainage outlet or basin for another entity, carrying away its surface or groundwater.
-
E.
drainsPartOf
Indicates that one entity carries off or removes liquid or fluid from a specific part or portion of 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c269638881909d96b847f7de5585 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.