Triple
T7808586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Plains Advanced Wastewater Treatment Plant |
E180619
|
entity |
| Predicate | treatmentLevel |
P79134
|
FINISHED |
| Object | advanced wastewater 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: advanced wastewater treatment | Statement: [Blue Plains Advanced Wastewater Treatment Plant, treatmentLevel, advanced wastewater treatment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentLevel Context triple: [Blue Plains Advanced Wastewater Treatment Plant, treatmentLevel, advanced wastewater treatment]
-
A.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
B.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
subsequentTreatment
Indicates that one treatment occurs after and in response to a prior treatment or medical event.
-
D.
aimsToTreat
Indicates that one entity (typically an intervention, treatment, or action) is intended or designed to alleviate, cure, or manage a condition, problem, or target entity.
-
E.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of 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_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. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:36 p.m.