Triple
T1985949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GÖ |
E43140
|
entity |
| Predicate | formatPartOf |
P35800
|
FINISHED |
| Object | German license plate format |
—
|
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: German license plate format | Statement: [GÖ, formatPartOf, German license plate format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatPartOf Context triple: [GÖ, formatPartOf, German license plate format]
-
A.
firstPartFormat
Indicates that the subject entity is the initial segment or portion in the overall format or structured sequence of something.
-
B.
deltaPartOf
Indicates that one entity represents a changed, differing, or modified portion of another entity, rather than the whole.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
partOfName
Indicates that one string is a component or substring that forms part of another entity’s name.
-
E.
formatAfter
Indicates that one entity’s format or structural arrangement is derived from, follows, or is applied subsequent to another entity’s format.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:37 p.m.