Triple
T17583664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altensteig |
E428264
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Walddorf
Walddorf is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
|
E1276444
|
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: Walddorf | Statement: [Altensteig, hasSubdivision, Walddorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walddorf Context triple: [Altensteig, hasSubdivision, Walddorf]
-
A.
Veltheim
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Wallenfels
Wallenfels is a small town in northern Bavaria, Germany, known for its scenic location in the Franconian Forest region.
- 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: Walddorf Triple: [Altensteig, hasSubdivision, Walddorf]
Generated description
Walddorf 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: Walddorf Target entity description: Walddorf is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
-
A.
Veltheim
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Wallenfels
Wallenfels is a small town in northern Bavaria, Germany, known for its scenic location in the Franconian Forest region.
- 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_6a01ddf17144819089c5795fc5f0b1e7 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01df69ccfc81909de6d300e1d72ad1 |
completed | May 11, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e05515d88190b343ebc1aad4a351 |
completed | May 11, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:50 a.m.