Triple
T17162199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gernsbach |
E416507
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Storchenturm
Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
|
E1253524
|
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: Storchenturm | Statement: [Gernsbach, hasLandmark, Storchenturm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storchenturm Context triple: [Gernsbach, hasLandmark, Storchenturm]
-
A.
Metzgerturm
Metzgerturm is a historic medieval tower in Ulm, Germany, known as one of the city’s iconic fortification landmarks.
-
B.
Blauer Hut tower
The Blauer Hut tower is a historic lookout and defensive structure in the town of Eberbach, Germany, notable for its preserved medieval architecture and panoramic views over the Neckar valley.
-
C.
Pulverturm
Pulverturm is a historic defensive tower that forms part of the medieval Musegg Wall fortifications in Lucerne, Switzerland.
-
D.
Pulverturm
Pulverturm is a historic tower in the German town of Eberbach, traditionally associated with the town’s medieval fortifications and former gunpowder storage.
-
E.
Schimmelturm
Schimmelturm is a historic tower and prominent architectural landmark in the Bavarian town of Lauingen, Germany.
- 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: Storchenturm Triple: [Gernsbach, hasLandmark, Storchenturm]
Generated description
Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storchenturm Target entity description: Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
-
A.
Metzgerturm
Metzgerturm is a historic medieval tower in Ulm, Germany, known as one of the city’s iconic fortification landmarks.
-
B.
Blauer Hut tower
The Blauer Hut tower is a historic lookout and defensive structure in the town of Eberbach, Germany, notable for its preserved medieval architecture and panoramic views over the Neckar valley.
-
C.
Pulverturm
Pulverturm is a historic defensive tower that forms part of the medieval Musegg Wall fortifications in Lucerne, Switzerland.
-
D.
Pulverturm
Pulverturm is a historic tower in the German town of Eberbach, traditionally associated with the town’s medieval fortifications and former gunpowder storage.
-
E.
Schimmelturm
Schimmelturm is a historic tower and prominent architectural landmark in the Bavarian town of Lauingen, Germany.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91258648190a40396067ba5ecd3 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a01495169d4819093962a3b4a97c47a |
completed | May 11, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0149be8b888190bab95b612aad590a |
completed | May 11, 2026, 3:15 a.m. |
Created at: April 10, 2026, 5:37 a.m.