Triple
T19492456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Waldshut |
E487684
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Grafenhausen
Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
|
E1430541
|
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: Grafenhausen | Statement: [district of Waldshut, containsMunicipality, Grafenhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grafenhausen Context triple: [district of Waldshut, containsMunicipality, Grafenhausen]
-
A.
Gräfenhausen
Gräfenhausen is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
B.
Grafenrheinfeld
Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
-
C.
Pfeffenhausen
Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
D.
Pfaffenhausen
Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
-
E.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
- 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: Grafenhausen Triple: [district of Waldshut, containsMunicipality, Grafenhausen]
Generated description
Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grafenhausen Target entity description: Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
-
A.
Gräfenhausen
Gräfenhausen is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
B.
Grafenrheinfeld
Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
-
C.
Pfeffenhausen
Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
D.
Pfaffenhausen
Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
-
E.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ddf09c81909415ac9e093a821d |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08849e605881909f3744eabf3c45ca |
completed | May 16, 2026, 2:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088511c07c81908492b7fb54609cbc |
completed | May 16, 2026, 2:54 p.m. |
Created at: April 10, 2026, 1:39 p.m.