Triple
T35270902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winooski Falls Mill District |
E1018662
|
entity |
| Predicate | industrialPowerSource |
P21222
|
FINISHED |
| Object | water power |
—
|
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: water power | Statement: [Winooski Falls Mill District, industrialPowerSource, water power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialPowerSource Context triple: [Winooski Falls Mill District, industrialPowerSource, water power]
-
A.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
B.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
C.
derivesPowerFrom
Indicates that one entity obtains or is granted its power, authority, or energy as a result of another entity.
-
D.
powerplantOrigin
Indicates that a power plant originates from, is sourced in, or is associated with a particular geographic location or administrative region.
-
E.
powerplantType
chosen
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f9fabdc8190818a4032238abf08 |
completed | May 3, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.