Triple
T4292618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray–Darling Depression bioregion |
E99630
|
entity |
| Predicate | hasWaterIssue |
P26834
|
FINISHED |
| Object | water scarcity |
—
|
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: water scarcity | Statement: [Murray–Darling Depression bioregion, hasWaterIssue, water scarcity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterIssue Context triple: [Murray–Darling Depression bioregion, hasWaterIssue, water scarcity]
-
A.
hasWaterManagementIssue
chosen
Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
-
B.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
C.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
D.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
-
E.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3508035a08190b752c8edce0aff86 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.