Triple
T5304830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BS |
E120072
|
entity |
| Predicate | platePosition |
P30243
|
FINISHED |
| Object | prefix on Swiss license plates |
—
|
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: prefix on Swiss license plates | Statement: [BS, platePosition, prefix on Swiss license plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platePosition Context triple: [BS, platePosition, prefix on Swiss license plates]
-
A.
plateLocation
chosen
Indicates the spatial position or placement of a plate relative to a reference location or object.
-
B.
plate3
Indicates that one entity is a third plate or dish associated with, supporting, or serving another entity in a given context.
-
C.
seatingPosition
Indicates the relative location or arrangement of an entity’s seat with respect to other seats or a reference point in a seating layout.
-
D.
plateName
Indicates the name or label assigned to a specific plate.
-
E.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.