Triple
T29695953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varna Cathedral |
E751350
|
entity |
| Predicate | isOneOfMostRecognizableLandmarksOf |
P157609
|
FINISHED |
| Object | Varna |
—
|
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: Varna | Statement: [Varna Cathedral, isOneOfMostRecognizableLandmarksOf, Varna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfMostRecognizableLandmarksOf Context triple: [Varna Cathedral, isOneOfMostRecognizableLandmarksOf, Varna]
-
A.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
-
B.
designedToBeIconicLandmark
Indicates that something was intentionally created or planned to serve as a visually distinctive, memorable landmark or symbol.
-
C.
isRegionalLandmark
chosen
Indicates that a place or structure is widely recognized as a notable or iconic landmark within a specific geographic region.
-
D.
isUrbanLandmark
Indicates that a place or structure is recognized as a notable or significant landmark within an urban environment.
-
E.
emblematicBuildingLocation
Indicates that a building serves as a symbolic or representative landmark for a particular location 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 7:20 p.m.