Triple
T6843224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strait Island |
E157825
|
entity |
| Predicate | hasDrinkingWaterSource |
P11699
|
FINISHED |
| Object | groundwater and rainwater harvesting |
—
|
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: groundwater and rainwater harvesting | Statement: [Strait Island, hasDrinkingWaterSource, groundwater and rainwater harvesting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrinkingWaterSource Context triple: [Strait Island, hasDrinkingWaterSource, groundwater and rainwater harvesting]
-
A.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
B.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
C.
waterSourceType
chosen
Indicates the kind or category of source from which water is obtained.
-
D.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
E.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.