Triple
T14198688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreley Rock |
E351907
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sankt 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: Sankt Goarshausen | Statement: [Loreley Rock, locatedNear, Sankt Goarshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sankt Goarshausen Context triple: [Loreley Rock, locatedNear, Sankt Goarshausen]
-
A.
Schongau
Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
-
B.
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.
-
C.
Stein am Rhein
Stein am Rhein is a small medieval town in northern Switzerland renowned for its well-preserved old town and richly painted half-timbered houses along the Rhine River.
-
D.
Donaueschingen
Donaueschingen is a town in southwestern Germany, in the Black Forest region of Baden-Württemberg, known as one of the sources of the Danube River.
-
E.
Maulbronn
Maulbronn is a historic town in Baden-Württemberg, Germany, best known for its well-preserved medieval Cistercian monastery complex, a UNESCO World Heritage Site.
- 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_69fd4674da8881909dc6c1c8a36cf78e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:04 a.m.