Triple
T36032212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolivar |
E1042294
|
entity |
| Predicate | treatmentPlantCapacity |
P184345
|
FINISHED |
| Object | major metropolitan wastewater load |
—
|
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: major metropolitan wastewater load | Statement: [Bolivar, treatmentPlantCapacity, major metropolitan wastewater load]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentPlantCapacity Context triple: [Bolivar, treatmentPlantCapacity, major metropolitan wastewater load]
-
A.
treatmentPlantLocation
Indicates the geographic location where a treatment plant is situated or operates.
-
B.
solarPlantCapacity
Indicates the maximum electrical power output that a solar power plant is designed or able to produce.
-
C.
plannedCapacityMW
Indicates the intended or scheduled power generation capacity of an energy asset, measured in megawatts (MW).
-
D.
waterUsedForTreatmentOf
Indicates that water is utilized in the process of treating, managing, or remedying a specified condition, substance, or entity.
-
E.
numberOfPumpingPlants
Indicates the quantity of pumping plants associated with a given entity or system.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad184e888190a045e04dbd191820 |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.