Triple
T686890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roter Turm (Chemnitz) |
E13302
|
entity |
| Predicate | touristInformation |
P7335
|
FINISHED |
| Object | featured on city tours of Chemnitz |
—
|
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: featured on city tours of Chemnitz | Statement: [Roter Turm (Chemnitz), touristInformation, featured on city tours of Chemnitz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristInformation Context triple: [Roter Turm (Chemnitz), touristInformation, featured on city tours of Chemnitz]
-
A.
touristAttractionIn
chosen
Indicates that a place functions as a tourist attraction located within a specified geographic area or entity.
-
B.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
C.
tourAccess
Indicates that an entity is permitted to participate in, enter, or make use of a specific tour.
-
D.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
E.
placesWithin
Indicates that one place or area is located entirely inside the boundaries of another place or area.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.