Triple
T13536809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braubachstraße |
E323281
|
entity |
| Predicate | isTouristRouteFor |
P17534
|
FINISHED |
| Object | sightseeing in Frankfurt Altstadt |
—
|
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: sightseeing in Frankfurt Altstadt | Statement: [Braubachstraße, isTouristRouteFor, sightseeing in Frankfurt Altstadt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTouristRouteFor Context triple: [Braubachstraße, isTouristRouteFor, sightseeing in Frankfurt Altstadt]
-
A.
hasTouristRoute
chosen
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
B.
isMajorTourismRoute
Indicates that a route serves as a primary corridor for significant tourism-related travel and activities.
-
C.
travelRouteOf
Indicates the path or itinerary that an entity follows or uses when traveling from one location to another.
-
D.
isStrategicRouteFor
Indicates a route that is important or advantageous for achieving strategic objectives, such as military, economic, or logistical goals, for a given entity.
-
E.
tourOf
Indicates that one entity serves as a guided or organized visit through another entity, typically for exploration, education, or sightseeing.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.