Triple
T7808587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Plains Advanced Wastewater Treatment Plant |
E180619
|
entity |
| Predicate | treatmentProcesses |
P64843
|
FINISHED |
| Object | primary treatment |
—
|
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: primary treatment | Statement: [Blue Plains Advanced Wastewater Treatment Plant, treatmentProcesses, primary treatment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentProcesses Context triple: [Blue Plains Advanced Wastewater Treatment Plant, treatmentProcesses, primary treatment]
-
A.
treatsWastewaterFor
Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
-
B.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
C.
waterUsedForTreatmentOf
Indicates that water is utilized in the process of treating, managing, or remedying a specified condition, substance, or entity.
-
D.
documentedProcess
chosen
Indicates that a process has been formally recorded, described, or specified in documentation.
-
E.
treats
Indicates that one entity provides medical care or therapeutic intervention to 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:36 p.m.