Triple
T26234476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngarrindjeri |
E656125
|
entity |
| Predicate | associatedWithWetland |
P78232
|
FINISHED |
| Object | Coorong National Park |
—
|
NE NERFINISHED |
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: Coorong National Park | Statement: [Ngarrindjeri, associatedWithWetland, Coorong National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWetland Context triple: [Ngarrindjeri, associatedWithWetland, Coorong National Park]
-
A.
containsWetland
Indicates that one area or region includes within its boundaries a wetland ecosystem.
-
B.
hasNearbyWetlandRegion
chosen
Indicates that a given location or area is situated close to, or in the vicinity of, a wetland region.
-
C.
wetlandSystem
Indicates that one entity is a wetland system associated with, containing, or characterizing the other entity.
-
D.
wetlandType
Indicates the specific classification or category of wetland associated with an entity.
-
E.
associatedWithWildlifeArea
Indicates that an entity has a connection, involvement, or linkage with a designated wildlife area.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: April 26, 2026, 9:01 p.m.