Triple
T20064595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohenwarte Dam |
E499574
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object |
Hohenwarte
Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
|
E1409967
|
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: Hohenwarte | Statement: [Hohenwarte Dam, nearSettlement, Hohenwarte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenwarte Context triple: [Hohenwarte Dam, nearSettlement, Hohenwarte]
-
A.
Hohen Viecheln
Hohen Viecheln is a small municipality in the Mecklenburg-Vorpommern region of northern Germany, situated on the shores of Lake Schwerin.
-
B.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
C.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
D.
Harthausen
Harthausen is a village-level subdivision of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
-
E.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
- 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: Hohenwarte Triple: [Hohenwarte Dam, nearSettlement, Hohenwarte]
Generated description
Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohenwarte Target entity description: Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
-
A.
Hohen Viecheln
Hohen Viecheln is a small municipality in the Mecklenburg-Vorpommern region of northern Germany, situated on the shores of Lake Schwerin.
-
B.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
C.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
D.
Harthausen
Harthausen is a village-level subdivision of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
-
E.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e663787190819096b2b78b38c1bf12 |
completed | April 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f33d7808190b71c69701fc85a02 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a0820d8d2c48190b8c75fc59e43462a |
completed | May 16, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08212942e88190a385e094a27b3ede |
completed | May 16, 2026, 7:47 a.m. |
Created at: April 11, 2026, 3:39 p.m.