Triple
T16029121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burragorang Valley |
E388795
|
entity |
| Predicate | reservoirRole |
P121420
|
FINISHED |
| Object | part of Sydney drinking water catchment |
—
|
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: part of Sydney drinking water catchment | Statement: [Burragorang Valley, reservoirRole, part of Sydney drinking water catchment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirRole Context triple: [Burragorang Valley, reservoirRole, part of Sydney drinking water catchment]
-
A.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
B.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
-
C.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
-
D.
isReservoir
Indicates that one entity functions as a storage or holding container (often for fluids or resources) for another entity.
-
E.
usesReservoir
Indicates that one entity draws upon, depends on, or operates using a particular reservoir as a resource or source.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:56 a.m.