Triple
T5965118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinkelsbühl |
E132731
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Rothenburg ob der Tauber |
E166074
|
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: Rothenburg ob der Tauber | Statement: [Dinkelsbühl, hasNearbyCity, Rothenburg ob der Tauber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rothenburg ob der Tauber Context triple: [Dinkelsbühl, hasNearbyCity, Rothenburg ob der Tauber]
-
A.
Rothenburg ob der Tauber
chosen
Rothenburg ob der Tauber is a well-preserved medieval town in Bavaria, Germany, famed for its intact city walls, half-timbered houses, and picturesque old town.
-
B.
Günzburg
Günzburg is a small Bavarian town in southern Germany, historically notable as the birthplace of Nazi physician Josef Mengele.
-
C.
Bad Wurzach
Bad Wurzach is a spa town in the Allgäu region of southern Germany, known for its moorland landscapes and therapeutic mud baths.
-
D.
Eisenach
Eisenach is a historic town in central Germany best known for its associations with Martin Luther and as the birthplace of composer Johann Sebastian Bach.
-
E.
Mühlhausen
Mühlhausen is a historic town in central Germany, known for its well-preserved medieval architecture and cultural heritage.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3ca1dc819098cde8ae5ec1d845 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141370ae48190b7da53210fd27315 |
completed | March 23, 2026, 1:33 p.m. |
Created at: March 22, 2026, 4:03 p.m.