Triple
T22789455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahler Asten |
E564067
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object |
Astenturm
Astenturm is an observation and telecommunications tower with tourist facilities located on the summit of the Kahler Asten mountain in Germany’s Sauerland region.
|
E1554640
|
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: Astenturm | Statement: [Kahler Asten, hasStructure, Astenturm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astenturm Context triple: [Kahler Asten, hasStructure, Astenturm]
-
A.
Rathausturm
Rathausturm is the historic town hall tower and prominent architectural landmark in the German town of Crailsheim.
-
B.
Perlachturm
Perlachturm is a historic bell and watchtower in Augsburg, Germany, known as a prominent city landmark with panoramic views over the old town.
-
C.
Humberg Tower
Humberg Tower is a historic observation tower on the Humberg hill near Kaiserslautern in Germany, known for its panoramic views over the surrounding Palatinate region.
-
D.
Storchenturm
Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
-
E.
Ledererturm
Ledererturm is a historic medieval tower and notable architectural landmark located in the Austrian city of Wels.
- 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: Astenturm Triple: [Kahler Asten, hasStructure, Astenturm]
Generated description
Astenturm is an observation and telecommunications tower with tourist facilities located on the summit of the Kahler Asten mountain in Germany’s Sauerland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Astenturm Target entity description: Astenturm is an observation and telecommunications tower with tourist facilities located on the summit of the Kahler Asten mountain in Germany’s Sauerland region.
-
A.
Rathausturm
Rathausturm is the historic town hall tower and prominent architectural landmark in the German town of Crailsheim.
-
B.
Perlachturm
Perlachturm is a historic bell and watchtower in Augsburg, Germany, known as a prominent city landmark with panoramic views over the old town.
-
C.
Humberg Tower
Humberg Tower is a historic observation tower on the Humberg hill near Kaiserslautern in Germany, known for its panoramic views over the surrounding Palatinate region.
-
D.
Storchenturm
Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
-
E.
Ledererturm
Ledererturm is a historic medieval tower and notable architectural landmark located in the Austrian city of Wels.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c3488708190812f7d2edac92184 |
completed | April 29, 2026, 3:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e905b148190b319d88ca3e7ca8e |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f0e73048190ac2e1ad53912dde5 |
completed | May 18, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9ff292b88190b1f318a8a801fbd1 |
completed | May 18, 2026, 11:25 p.m. |
Created at: April 17, 2026, 3:29 p.m.