Triple
T20919891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogori |
E515176
|
entity |
| Predicate | electricFrequency |
P15377
|
FINISHED |
| Object | 60 Hz |
—
|
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: 60 Hz | Statement: [Ogori, electricFrequency, 60 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricFrequency Context triple: [Ogori, electricFrequency, 60 Hz]
-
A.
usesElectricFrequency
chosen
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
-
B.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
C.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
-
D.
frequencyInUS
Indicates how often something occurs, appears, or is used within the United States.
-
E.
countryUsesPower
Indicates that a country employs or exercises a particular form of power (such as political, economic, or military) in some context or toward some target.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.