Triple
T11903704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hume Dam |
E283220
|
entity |
| Predicate | reservoirName |
P13043
|
FINISHED |
| Object | Lake Hume |
E992023
|
NE 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: Lake Hume | Statement: [Hume Dam, reservoirName, Lake Hume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Hume Context triple: [Hume Dam, reservoirName, Lake Hume]
-
A.
Lake Hume
chosen
Lake Hume is a large artificial reservoir on the Murray River in southeastern Australia, popular for irrigation storage, recreation, and water sports.
-
B.
Lake Liddell
Lake Liddell is an artificial reservoir in New South Wales, Australia, primarily associated with and used by nearby coal-fired power generation facilities.
-
C.
Herrington Lake
Herrington Lake is a large man-made reservoir in central Kentucky known for its deep waters, recreational boating, and fishing opportunities.
-
D.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
E.
Lake Winthrop
Lake Winthrop is a recreational freshwater lake in Holliston, Massachusetts, known for activities such as swimming, boating, and fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66849ba888190a50c5a5fcdb935e0 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.