Triple
T18459713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheinbach |
E450998
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Queckenberg
Queckenberg is a small district within the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
|
E1326145
|
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: Queckenberg | Statement: [Rheinbach, hasSubdivision, Queckenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queckenberg Context triple: [Rheinbach, hasSubdivision, Queckenberg]
-
A.
Reißeck
Reißeck is a municipality in the Austrian state of Carinthia, known for its Alpine landscape and proximity to the Reißeck mountain range and hydroelectric facilities.
-
B.
Huzenbach
Huzenbach is a village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
-
C.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
D.
Murmelbach
Murmelbach is a small stream in North Rhine-Westphalia, Germany, that flows into the river Wupper.
-
E.
Kneiff
Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
- 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: Queckenberg Triple: [Rheinbach, hasSubdivision, Queckenberg]
Generated description
Queckenberg is a small district within the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queckenberg Target entity description: Queckenberg is a small district within the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
A.
Reißeck
Reißeck is a municipality in the Austrian state of Carinthia, known for its Alpine landscape and proximity to the Reißeck mountain range and hydroelectric facilities.
-
B.
Huzenbach
Huzenbach is a village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
-
C.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
D.
Murmelbach
Murmelbach is a small stream in North Rhine-Westphalia, Germany, that flows into the river Wupper.
-
E.
Kneiff
Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7cdb5c8190a399f0e4052f7d1f |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f22b680819087c837c9ca87ce4b |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a043fc897408190ac2f6625ce23c93d |
completed | May 13, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a044095d4b48190aeb30ecb37609da3 |
completed | May 13, 2026, 9:12 a.m. |
Created at: April 10, 2026, 11:33 a.m.