Triple
T31960220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thannhausen |
E816015
|
entity |
| Predicate | usesElectricalVoltageAtCountryLevel |
P1870
|
FINISHED |
| Object | 230 V |
—
|
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: 230 V | Statement: [Thannhausen, usesElectricalVoltageAtCountryLevel, 230 V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesElectricalVoltageAtCountryLevel Context triple: [Thannhausen, usesElectricalVoltageAtCountryLevel, 230 V]
-
A.
usesElectricityVoltage
chosen
Indicates that one entity operates using or is characterized by a specified level of electrical voltage supplied by another entity or source.
-
B.
usesElectricalPlugTypeCountry
Indicates that a country commonly uses a specified type of electrical plug as part of its standard power outlet system.
-
C.
usesElectricFrequency
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
-
D.
countryUsesElectricityFrom
Indicates that a country obtains and utilizes electrical power supplied from a specified source or provider.
-
E.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:09 a.m.