Triple
T21740476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copaean Lake |
E536643
|
entity |
| Predicate | drainageAttemptedBy |
P145181
|
FINISHED |
| Object | classical Greek engineers |
—
|
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: classical Greek engineers | Statement: [Copaean Lake, drainageAttemptedBy, classical Greek engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageAttemptedBy Context triple: [Copaean Lake, drainageAttemptedBy, classical Greek engineers]
-
A.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
B.
drainageResult
Indicates the outcome or effect produced by a drainage process or activity.
-
C.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
D.
hasDrainage
Indicates that one entity serves as the drainage system or outlet through which another entity’s liquid or runoff is removed or discharged.
-
E.
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).
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a714c208190b96efe23ed3bf0db |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:49 p.m.