Triple
T15880253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A5 motorway |
E385056
|
entity |
| Predicate | isNumberedInSystem |
P37553
|
FINISHED |
| Object | Swiss A-road numbering system |
—
|
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: Swiss A-road numbering system | Statement: [A5 motorway, isNumberedInSystem, Swiss A-road numbering system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberedInSystem Context triple: [A5 motorway, isNumberedInSystem, Swiss A-road numbering system]
-
A.
isNumberedBy
chosen
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
B.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
C.
isInSystem
Indicates that one entity is located within, belongs to, or is contained by a particular system.
-
D.
hasCabinetNumberingSystem
Indicates that there is a specific scheme or method used to assign and organize identification numbers to cabinets.
-
E.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.