Triple
T36478353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badenweiler castle ruins |
E898733
|
entity |
| Predicate | hasWalkingAccessFrom |
P25669
|
FINISHED |
| Object | Badenweiler town centre |
—
|
NE NERFINISHED |
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: Badenweiler town centre | Statement: [Badenweiler castle ruins, hasWalkingAccessFrom, Badenweiler town centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkingAccessFrom Context triple: [Badenweiler castle ruins, hasWalkingAccessFrom, Badenweiler town centre]
-
A.
hasPedestrianAccessTo
chosen
Indicates that a location or area can be reached or entered safely and directly by people on foot.
-
B.
hasBicycleAccessFrom
Indicates that a location or entity can be reached from another location or entity specifically via bicycle access.
-
C.
hasWalkingAllowed
Indicates that walking is permitted within or across the referenced area or context.
-
D.
isWalkable
Indicates that an entity can be traversed on foot, typically without obstruction or restriction.
-
E.
hasWalkingRouteConnection
Indicates that there is a walkable path or route directly connecting two locations.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:10 p.m.