Triple
T5338562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Copais |
E123885
|
entity |
| Predicate | drainedFor |
P63073
|
FINISHED |
| Object | agricultural land reclamation |
—
|
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: agricultural land reclamation | Statement: [Lake Copais, drainedFor, agricultural land reclamation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainedFor Context triple: [Lake Copais, drainedFor, agricultural land reclamation]
-
A.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
B.
drainedSince
Indicates that one entity has had its contents or resources removed starting from a specific point in time.
-
C.
regionDrained
Indicates that one region serves as the drainage area for another, collecting and channeling its surface or groundwater flow.
-
D.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
E.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
- 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.