Triple
T15968909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Löhne |
E387268
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Mennighüffen
Mennighüffen is a district within the town of Löhne in North Rhine-Westphalia, Germany.
|
E1189546
|
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: Mennighüffen | Statement: [Löhne, subdivision, Mennighüffen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mennighüffen Context triple: [Löhne, subdivision, Mennighüffen]
-
A.
Bammental
Bammental is a small municipality in southwestern Germany’s Rhine-Neckar region, known for its scenic location in the Elsenz valley near Heidelberg.
-
B.
Hürnbach
Hürnbach is a small stream in Switzerland that serves as a tributary of the river Wigger.
-
C.
Warth-Schröcken
Warth-Schröcken is a small alpine ski resort village in the Austrian state of Vorarlberg, known for its reliable snowfall and access to the Arlberg ski area.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
La Bresse-Hohneck
La Bresse-Hohneck is a major ski resort in the Vosges Mountains of northeastern France, known for its extensive network of alpine ski runs and family-friendly winter sports facilities.
- 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: Mennighüffen Triple: [Löhne, subdivision, Mennighüffen]
Generated description
Mennighüffen is a district within the town of Löhne in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mennighüffen Target entity description: Mennighüffen is a district within the town of Löhne in North Rhine-Westphalia, Germany.
-
A.
Bammental
Bammental is a small municipality in southwestern Germany’s Rhine-Neckar region, known for its scenic location in the Elsenz valley near Heidelberg.
-
B.
Hürnbach
Hürnbach is a small stream in Switzerland that serves as a tributary of the river Wigger.
-
C.
Warth-Schröcken
Warth-Schröcken is a small alpine ski resort village in the Austrian state of Vorarlberg, known for its reliable snowfall and access to the Arlberg ski area.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
La Bresse-Hohneck
La Bresse-Hohneck is a major ski resort in the Vosges Mountains of northeastern France, known for its extensive network of alpine ski runs and family-friendly winter sports facilities.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1893388190800f013fab415ae7 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd049952081909221df73d3555557 |
completed | May 10, 2026, 12:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd10ab484819089cd94ef07cb8de5 |
completed | May 10, 2026, 12:27 a.m. |
Created at: April 10, 2026, 4:54 a.m.