Triple
T16561045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw district |
E402337
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Ebhausen
Ebhausen is a small municipality in the northern Black Forest region of Baden-Württemberg, Germany.
|
E1255138
|
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: Ebhausen | Statement: [Calw district, containsTown, Ebhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebhausen Context triple: [Calw district, containsTown, Ebhausen]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Bebenhausen
Bebenhausen is a historic village in Baden-Württemberg, Germany, best known for its well-preserved former Cistercian monastery and royal hunting lodge.
-
C.
Aidhausen
Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
D.
Eilshausen
Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
-
E.
Babenhausen
Babenhausen is a small town in the German state of Hesse, known for its historic old town and location southeast of Frankfurt am Main.
- 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: Ebhausen Triple: [Calw district, containsTown, Ebhausen]
Generated description
Ebhausen is a small municipality in the northern Black Forest region of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebhausen Target entity description: Ebhausen is a small municipality in the northern Black Forest region of Baden-Württemberg, Germany.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Bebenhausen
Bebenhausen is a historic village in Baden-Württemberg, Germany, best known for its well-preserved former Cistercian monastery and royal hunting lodge.
-
C.
Aidhausen
Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
D.
Eilshausen
Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
-
E.
Babenhausen
Babenhausen is a small town in the German state of Hesse, known for its historic old town and location southeast of Frankfurt am Main.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb40dc08190b9d6a04f3c19f57d |
completed | May 11, 2026, 4:48 a.m. |
| NEDg | Description generation | batch_6a01611507bc8190a55d3c67f967ce89 |
completed | May 11, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016166c854819090571ee05e77995d |
completed | May 11, 2026, 4:56 a.m. |
Created at: April 10, 2026, 5:15 a.m.