Triple
T7126514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothenburg ob der Tauber |
E166074
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Plönlein
Plönlein is a famously picturesque medieval street corner in Rothenburg ob der Tauber, Germany, often featured on postcards and travel guides as an iconic image of the town.
|
E643630
|
NE FINISHED |
How this triple was built (4 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: Plönlein | Statement: [Rothenburg ob der Tauber, hasLandmark, Plönlein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plönlein Context triple: [Rothenburg ob der Tauber, hasLandmark, Plönlein]
-
A.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
B.
Flöha
Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
-
C.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
D.
Kleine Enz
Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
-
E.
Ropscha
Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plönlein Triple: [Rothenburg ob der Tauber, hasLandmark, Plönlein]
Generated description
Plönlein is a famously picturesque medieval street corner in Rothenburg ob der Tauber, Germany, often featured on postcards and travel guides as an iconic image of the town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plönlein Target entity description: Plönlein is a famously picturesque medieval street corner in Rothenburg ob der Tauber, Germany, often featured on postcards and travel guides as an iconic image of the town.
-
A.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
B.
Flöha
Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
-
C.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
D.
Kleine Enz
Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
-
E.
Ropscha
Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
- F. None of above. chosen
Provenance (5 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3357e548190bb56c31843c69f95 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a446c5088190908dd7b4cdc57f18 |
completed | March 28, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4fc9f788190b38437c6e91a5f8a |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 27, 2026, 2:44 p.m.