Triple
T17583660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altensteig |
E428264
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Hörschweiler
Hörschweiler is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
|
E1279713
|
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: Hörschweiler | Statement: [Altensteig, hasSubdivision, Hörschweiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hörschweiler Context triple: [Altensteig, hasSubdivision, Hörschweiler]
-
A.
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
B.
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
-
C.
Eschweiler
Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
-
D.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
E.
Friedenweiler
Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
- 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: Hörschweiler Triple: [Altensteig, hasSubdivision, Hörschweiler]
Generated description
Hörschweiler is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hörschweiler Target entity description: Hörschweiler is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
-
A.
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
B.
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
-
C.
Eschweiler
Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
-
D.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
E.
Friedenweiler
Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d015fc8190b2dd897026d6fcb5 |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a8b5ae88190809215e758dfe60f |
completed | May 11, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_6a020da4e10481908a8a6420905034d7 |
completed | May 11, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020e2ec11c81909b34d361e6162541 |
completed | May 11, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.