Triple
T18128302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Federal Motor Transport Authority |
E433940
|
entity |
| Predicate | dataCollectionArea |
P48529
|
FINISHED |
| Object | road safety statistics |
—
|
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: road safety statistics | Statement: [German Federal Motor Transport Authority, dataCollectionArea, road safety statistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCollectionArea Context triple: [German Federal Motor Transport Authority, dataCollectionArea, road safety statistics]
-
A.
dataCollectionLocation
Indicates the place or setting where data is gathered, recorded, or measured.
-
B.
collectingArea
Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
-
C.
hasCollectionArea
Indicates that an entity is associated with a specific geographic or spatial area from which items, specimens, or data are collected.
-
D.
reportingArea
chosen
Indicates that one entity serves as the geographic or organizational area for which information, data, or events about another entity are reported or aggregated.
-
E.
collectsDataFor
Indicates that one entity gathers or records data on behalf of, or for the benefit of, 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf061b48190b67356f1c266b80a |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.