Triple
T21415406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss motorway vignette |
E528287
|
entity |
| Predicate | requiresProperAffixing |
P143878
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Swiss motorway vignette, requiresProperAffixing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresProperAffixing Context triple: [Swiss motorway vignette, requiresProperAffixing, true]
-
A.
hasAffixType
Indicates that an affix bears a specific morphological type or category within a word-formation process.
-
B.
hasPossessiveAffixes
Indicates that an entity (typically a word or morpheme) carries affixes that mark grammatical possession or ownership.
-
C.
requiresProperDispositionFor
Indicates that one entity must be handled, treated, or disposed of according to specific proper-disposal procedures defined by another entity.
-
D.
requiresLeadingIn
Indicates that one entity must be introduced, prepared, or preceded by another entity or action before it can appropriately occur or be used.
-
E.
requiresAlignment
Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d16bfc8190a1c08dd9d0c80e02 |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:45 p.m.