Triple
T18275974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giannitsa Plain |
E437733
|
entity |
| Predicate | wetlandStatus |
P131140
|
FINISHED |
| Object | largely reclaimed for agriculture |
—
|
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: largely reclaimed for agriculture | Statement: [Giannitsa Plain, wetlandStatus, largely reclaimed for agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wetlandStatus Context triple: [Giannitsa Plain, wetlandStatus, largely reclaimed for agriculture]
-
A.
containsWetland
Indicates that one area or region includes within its boundaries a wetland ecosystem.
-
B.
formsWetland
Indicates that one entity creates, develops, or gives rise to a wetland environment in relation to another entity or location.
-
C.
isUrbanWetland
Indicates that a location or area functions as a wetland situated within or adjacent to an urban or heavily developed environment.
-
D.
estuaryStatus
Indicates the condition or classification of an estuary, such as its current state, health, or regulatory status.
-
E.
hasNearbyWetlandRegion
Indicates that a given location or area is situated close to, or in the vicinity of, a wetland region.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50051bccc8190832eacdb6945d6b7 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.