Triple
T28753548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwigshafen am Bodensee |
E731598
|
entity |
| Predicate | isTouristDestinationOn |
P530
|
FINISHED |
| Object | Lake Constance |
—
|
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: Lake Constance | Statement: [Ludwigshafen am Bodensee, isTouristDestinationOn, Lake Constance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTouristDestinationOn Context triple: [Ludwigshafen am Bodensee, isTouristDestinationOn, Lake Constance]
-
A.
isTouristDestination
chosen
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
B.
isPopularTouristDestinationIn
Indicates that a place is widely visited and favored by tourists within a specified geographic area or region.
-
C.
areMajorTouristDestinations
Indicates that the referenced places are widely recognized and frequently visited as primary tourist destinations.
-
D.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
-
E.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:08 a.m.