Triple
T10711668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höxter |
E252551
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lütmarsen
Lütmarsen is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
|
E880988
|
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: Lütmarsen | Statement: [Höxter, hasSubdivision, Lütmarsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lütmarsen Context triple: [Höxter, hasSubdivision, Lütmarsen]
-
A.
Kellermann
Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
-
B.
Oberroth
Oberroth is a small municipality in the district of Neu-Ulm in the Bavarian region of Germany.
-
C.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
D.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
-
E.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
- 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: Lütmarsen Triple: [Höxter, hasSubdivision, Lütmarsen]
Generated description
Lütmarsen is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lütmarsen Target entity description: Lütmarsen is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
A.
Kellermann
Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
-
B.
Oberroth
Oberroth is a small municipality in the district of Neu-Ulm in the Bavarian region of Germany.
-
C.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
D.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
-
E.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.