Triple
T11375445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Grey River |
E269454
|
entity |
| Predicate | hasAlluvialPlains |
P75660
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [De Grey River, hasAlluvialPlains, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlluvialPlains Context triple: [De Grey River, hasAlluvialPlains, yes]
-
A.
hasFloodplains
chosen
Indicates that an area or region includes land that is subject to flooding, typically adjacent to a river or water body.
-
B.
hasCoastalPlain
Indicates that an entity possesses or includes a coastal plain as part of its geographic area.
-
C.
hasMajorRiverDelta
Indicates that a geographic region or water body possesses a significant river delta formed by sediment deposition at or near its mouth.
-
D.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
E.
isLowland
Indicates that an entity is located in, associated with, or characteristic of lowland areas or low-lying terrain relative to surrounding regions.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.