Triple
T23746495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish vehicle registration plates |
E586829
|
entity |
| Predicate | excludesCharacter |
P3119
|
FINISHED |
| Object | Polish letters with diacritics |
—
|
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: Polish letters with diacritics | Statement: [Polish vehicle registration plates, excludesCharacter, Polish letters with diacritics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesCharacter Context triple: [Polish vehicle registration plates, excludesCharacter, Polish letters with diacritics]
-
A.
excludesLetter
Indicates that one entity does not contain or allow the presence of a specified letter.
-
B.
excludes
chosen
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
C.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
D.
excludesConstruct
Indicates that one entity explicitly omits, leaves out, or does not incorporate a particular construct in its definition, composition, or scope.
-
E.
excludesPrimary
Indicates that one entity explicitly omits or does not include another entity as its primary or main component, option, or classification.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbef1e481909fb49427dbd76460 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.