Triple
T1877348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taunus region |
E39173
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nassau (Lahn)
Nassau (Lahn) is a small historic town in western Germany, situated on the Lahn River and known for its medieval castle and scenic surroundings.
|
E215504
|
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: Nassau (Lahn) | Statement: [Taunus region, contains, Nassau (Lahn)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassau (Lahn) Context triple: [Taunus region, contains, Nassau (Lahn)]
-
A.
Emmerich am Rhein
Emmerich am Rhein is a German town on the Rhine River near the Dutch border, known for its historic center and prominent Rhine bridge.
-
B.
Lahnstein
Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
-
C.
Neustadt an der Aisch
Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
-
D.
Lüßbach
Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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: Nassau (Lahn) Triple: [Taunus region, contains, Nassau (Lahn)]
Generated description
Nassau (Lahn) is a small historic town in western Germany, situated on the Lahn River and known for its medieval castle and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nassau (Lahn) Target entity description: Nassau (Lahn) is a small historic town in western Germany, situated on the Lahn River and known for its medieval castle and scenic surroundings.
-
A.
Emmerich am Rhein
Emmerich am Rhein is a German town on the Rhine River near the Dutch border, known for its historic center and prominent Rhine bridge.
-
B.
Lahnstein
Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
-
C.
Neustadt an der Aisch
Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
-
D.
Lüßbach
Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0da543481908ab25806e6b80375 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ca2bd48190b055dd2e657c4dd9 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf494f0288190bf77285d18fcd3d9 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf51f49488190b9b0465b4da685c1 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:34 p.m.