Triple
T3739920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CharIN e.V. |
E79672
|
entity |
| Predicate | standardArea |
P51175
|
FINISHED |
| Object | AC charging |
—
|
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: AC charging | Statement: [CharIN e.V., standardArea, AC charging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardArea Context triple: [CharIN e.V., standardArea, AC charging]
-
A.
standardSectionArea
Indicates that one entity specifies the standard or nominal cross-sectional area associated with another entity.
-
B.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
C.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
D.
areaBControl
Indicates that one entity has control or authority over a specific region or area labeled as B.
-
E.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb5344fc8190b183aca5c04e3bcc |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc198b95481908ca6e4e875aae446 |
completed | March 8, 2026, 6:36 p.m. |
Created at: March 8, 2026, 3:34 p.m.