Triple
T14199248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesstraße 42 |
E351919
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | 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: St. Goarshausen | Statement: [Bundesstraße 42, connects, St. Goarshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Goarshausen Context triple: [Bundesstraße 42, connects, 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.
Odelzhausen
Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
-
D.
Grafenrheinfeld
Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
-
E.
Gräfenhausen
Gräfenhausen is a district of the town of Weiterstadt in the state of Hesse, Germany.
- 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_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06cddcc81909a1ba268f667dc1d |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:04 a.m.