Triple
T22242071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Key Wastewater Treatment Plant |
E549746
|
entity |
| Predicate | wastewaterSource |
P147515
|
FINISHED |
| Object | residential sewage |
—
|
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: residential sewage | Statement: [Virginia Key Wastewater Treatment Plant, wastewaterSource, residential sewage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wastewaterSource Context triple: [Virginia Key Wastewater Treatment Plant, wastewaterSource, residential sewage]
-
A.
treatsWastewaterFor
Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
-
B.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
C.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
D.
pollutionSource
Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
-
E.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132150a3c81908eba0683819e26d0 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:38 p.m.