Triple
T24494329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Freetown village |
E617736
|
entity |
| Predicate | usesElectricalPlugTypeCountry |
P156527
|
FINISHED |
| Object | Type D |
—
|
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: Type D | Statement: [East Freetown village, usesElectricalPlugTypeCountry, Type D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesElectricalPlugTypeCountry Context triple: [East Freetown village, usesElectricalPlugTypeCountry, Type D]
-
A.
usesElectricalPlug
Indicates that one entity operates by being connected to another entity via an electrical plug.
-
B.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
C.
usesElectricityStandard
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
D.
usesElectricFrequency
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
-
E.
usesElectricityVoltage
Indicates that one entity operates using or is characterized by a specified level of electrical voltage supplied by another entity or source.
- F. None of above. chosen
Provenance (4 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.