Triple
T13253713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzingen |
E315601
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Falterturm
Falterturm is a distinctive historic tower in the Bavarian town of Kitzingen, known for its leaning structure and role as a former watchtower.
|
E1031074
|
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: Falterturm | Statement: [Kitzingen, hasLandmark, Falterturm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falterturm Context triple: [Kitzingen, hasLandmark, Falterturm]
-
A.
Schmalzturm
Schmalzturm is a historic medieval tower and notable architectural landmark in the Bavarian town of Weißenburg in Bayern, Germany.
-
B.
Schmalzturm
Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
-
C.
Blaserturm
Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
-
D.
Nölliturm
Nölliturm is a historic medieval tower in Lucerne, Switzerland, known as one of the prominent fortification towers along the Musegg Wall.
-
E.
Käfigturm
Käfigturm is a historic medieval tower and former city gate in Bern, Switzerland, now serving as a prominent landmark and cultural venue.
- 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: Falterturm Triple: [Kitzingen, hasLandmark, Falterturm]
Generated description
Falterturm is a distinctive historic tower in the Bavarian town of Kitzingen, known for its leaning structure and role as a former watchtower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Falterturm Target entity description: Falterturm is a distinctive historic tower in the Bavarian town of Kitzingen, known for its leaning structure and role as a former watchtower.
-
A.
Schmalzturm
Schmalzturm is a historic medieval tower and notable architectural landmark in the Bavarian town of Weißenburg in Bayern, Germany.
-
B.
Schmalzturm
Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
-
C.
Blaserturm
Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
-
D.
Nölliturm
Nölliturm is a historic medieval tower in Lucerne, Switzerland, known as one of the prominent fortification towers along the Musegg Wall.
-
E.
Käfigturm
Käfigturm is a historic medieval tower and former city gate in Bern, Switzerland, now serving as a prominent landmark and cultural venue.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3d6b808190b4ae5225961de03f |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70bc5111c8190ae5b098c806bb845 |
completed | May 3, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:24 p.m.