Triple
T5159404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy, Washington |
E116395
|
entity |
| Predicate | energySourceForIndustry |
P56850
|
FINISHED |
| Object | hydroelectric 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: hydroelectric power | Statement: [Quincy, Washington, energySourceForIndustry, hydroelectric power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySourceForIndustry Context triple: [Quincy, Washington, energySourceForIndustry, hydroelectric power]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
energy
chosen
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
-
C.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
D.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
E.
industrialDevelopmentDrivenBy
Indicates that the industrial development of one entity is caused, influenced, or propelled by another specified factor or agent.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.