Triple
T31276197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgenstraße |
E797521
|
entity |
| Predicate | secondaryTransportMode |
P70708
|
FINISHED |
| Object | bicycle |
—
|
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: bicycle | Statement: [Burgenstraße, secondaryTransportMode, bicycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryTransportMode Context triple: [Burgenstraße, secondaryTransportMode, bicycle]
-
A.
hasSecondaryTransportationMode
chosen
Indicates that an entity is associated with an additional, non-primary mode of transportation it can use or provide.
-
B.
successorTransportMode
Indicates that one mode of transport directly follows another in a sequence or chain of transportation.
-
C.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
D.
secondaryTraffic
Indicates that there is an additional, indirect, or subordinate flow of traffic associated with a primary traffic stream or event.
-
E.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
- 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 29, 2026, 9:13 p.m.