Triple
T21380577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwanau |
E527341
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Allmannsweier
Allmannsweier is a village in the Ortenau district of Baden-Württemberg, Germany, now incorporated into the municipality of Schwanau.
|
E1499201
|
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: Allmannsweier | Statement: [Schwanau, formedByMergerOf, Allmannsweier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allmannsweier Context triple: [Schwanau, formedByMergerOf, Allmannsweier]
-
A.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
-
C.
Grafenried
Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
D.
Ötigheim
Ötigheim is a small municipality in southwestern Germany’s Baden-Württemberg state, known for its open-air theater and rural character within the Rastatt district.
-
E.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian 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: Allmannsweier Triple: [Schwanau, formedByMergerOf, Allmannsweier]
Generated description
Allmannsweier is a village in the Ortenau district of Baden-Württemberg, Germany, now incorporated into the municipality of Schwanau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allmannsweier Target entity description: Allmannsweier is a village in the Ortenau district of Baden-Württemberg, Germany, now incorporated into the municipality of Schwanau.
-
A.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
-
C.
Grafenried
Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
D.
Ötigheim
Ötigheim is a small municipality in southwestern Germany’s Baden-Württemberg state, known for its open-air theater and rural character within the Rastatt district.
-
E.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2eba1cc48190bb642c096f67fcc0 |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a300b6374819098d84a8b4347762c |
completed | May 17, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a308ca2648190a365ea141a5335bb |
completed | May 17, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:11 p.m.