Triple
T7202745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White City (World's Columbian Exposition) |
E148586
|
entity |
| Predicate | electricSystemType |
P5320
|
FINISHED |
| Object | alternating current system |
—
|
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: alternating current system | Statement: [White City (World's Columbian Exposition), electricSystemType, alternating current system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricSystemType Context triple: [White City (World's Columbian Exposition), electricSystemType, alternating current system]
-
A.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
B.
electrificationSystem
chosen
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
C.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
D.
electricalSystem
Indicates that one entity functions as, is part of, or is directly related to the electrical system of another entity.
-
E.
powerplantType
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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94a9ee4819086de79fcdfa1836a |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.