Triple
T27182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guam |
E544
|
entity |
| Predicate | usesElectricityFrequency |
P1048
|
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: [Guam, usesElectricityFrequency, 60 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesElectricityFrequency Context triple: [Guam, usesElectricityFrequency, 60 Hz]
-
A.
usesElectricityStandard
chosen
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
B.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
C.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
D.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
E.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a247798a348190bb943d38300ae3ef |
completed | Feb. 28, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69a24658749881909117b007ec3d8633 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.