Triple
T14198867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katz Castle |
E351910
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | town of St. Goarshausen |
E353103
|
NE 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: town of St. Goarshausen | Statement: [Katz Castle, hasViewOf, town of St. Goarshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of St. Goarshausen Context triple: [Katz Castle, hasViewOf, town of St. Goarshausen]
-
A.
St. Goarshausen
chosen
St. Goarshausen is a historic town on the Rhine River in Germany, renowned for its dramatic riverside setting, medieval castles, and proximity to the famous Lorelei rock.
-
B.
St. Goar
St. Goar is a historic town on the Rhine River in Germany, renowned for its medieval castles, riverside scenery, and role within the UNESCO-listed Upper Middle Rhine Valley.
-
C.
Gölshausen
Gölshausen is a village and district (Stadtteil) of the town of Bretten in the state of Baden-Württemberg, Germany.
-
D.
Gochsheim
Gochsheim is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its historic Franconian architecture and proximity to the city of Schweinfurt.
-
E.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194d14008190a74021ff5a3e51d1 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.