Triple
T11137897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maslianico |
E263460
|
entity |
| Predicate | hasElectricityStandard |
P1048
|
FINISHED |
| Object | 230 V AC |
—
|
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 AC | Statement: [Maslianico, hasElectricityStandard, 230 V AC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectricityStandard Context triple: [Maslianico, hasElectricityStandard, 230 V AC]
-
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.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
C.
hasElectrificationStatus
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
-
D.
usesElectricityFor
Indicates that one entity relies on or employs electricity as the power source to operate, perform a function, or carry out an activity for another entity or purpose.
-
E.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.