Triple
T13193366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitesands Bay |
E314047
|
entity |
| Predicate | hasWaterQualityDesignation |
P108980
|
FINISHED |
| Object | bathing water |
—
|
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: bathing water | Statement: [Whitesands Bay, hasWaterQualityDesignation, bathing water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterQualityDesignation Context triple: [Whitesands Bay, hasWaterQualityDesignation, bathing water]
-
A.
hasWaterQualityProgram
Indicates that an entity implements or participates in a program aimed at monitoring, managing, or improving water quality.
-
B.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
-
C.
hasImpairedWatersStatus
Indicates that a water body is classified as not meeting established water quality standards and is therefore considered impaired.
-
D.
hasWaterQualityImportance
Indicates that something plays a significant role in determining, influencing, or assessing the quality of water.
-
E.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:16 p.m.