Triple
T15049757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innerste Dam |
E379328
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Lautenthal
Lautenthal is a small historic mining town in Germany’s Harz Mountains, known for its picturesque valley setting and former silver mining industry.
|
E1136149
|
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: Lautenthal | Statement: [Innerste Dam, locatedNear, Lautenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lautenthal Context triple: [Innerste Dam, locatedNear, Lautenthal]
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
C.
Simmenthal
Simmenthal is a landmark decision of the European Court of Justice that reinforced the supremacy and direct effect of European Community law over conflicting national legislation.
-
D.
Graditz
Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
-
E.
Miltenberg
Miltenberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town along the Main River and its timber-framed architecture.
- 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: Lautenthal Triple: [Innerste Dam, locatedNear, Lautenthal]
Generated description
Lautenthal is a small historic mining town in Germany’s Harz Mountains, known for its picturesque valley setting and former silver mining industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lautenthal Target entity description: Lautenthal is a small historic mining town in Germany’s Harz Mountains, known for its picturesque valley setting and former silver mining industry.
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
C.
Simmenthal
Simmenthal is a landmark decision of the European Court of Justice that reinforced the supremacy and direct effect of European Community law over conflicting national legislation.
-
D.
Graditz
Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
-
E.
Miltenberg
Miltenberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town along the Main River and its timber-framed architecture.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8f71988190b4fe7f7de4ccb798 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b96ae08190b15873634b67e8d9 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea6dc14888190a80595c299dbaeac |
completed | May 9, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaab0036c8190a486e4826e72925f |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 10, 2026, 3 a.m.