Triple
T36082592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin S-Bahn fare zone A |
E1043689
|
entity |
| Predicate | containsMostTouristAttractionsOf |
P203059
|
FINISHED |
| Object | Berlin |
—
|
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: Berlin | Statement: [Berlin S-Bahn fare zone A, containsMostTouristAttractionsOf, Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMostTouristAttractionsOf Context triple: [Berlin S-Bahn fare zone A, containsMostTouristAttractionsOf, Berlin]
-
A.
areMajorTouristDestinations
Indicates that the referenced places are widely recognized and frequently visited as primary tourist destinations.
-
B.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
-
C.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
D.
highestTouristCenter
Indicates that a location is the most prominent or top-ranked tourist center within a given area or context.
-
E.
isPopularTouristDestinationIn
Indicates that a place is widely visited and favored by tourists within a specified geographic area or region.
- F. None of above. chosen
Provenance (4 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0119132e848190820a688d139fbf75 |
completed | May 10, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a01188dfdec8190b7f675264a281733 |
completed | May 10, 2026, 11:45 p.m. |
| PDg | Predicate description generation | batch_6a0119127ca481909e921e7d95716b00 |
completed | May 10, 2026, 11:47 p.m. |
Created at: May 3, 2026, 4:08 p.m.