Triple
T17049866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Tauber-Kreis |
E413663
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wittighausen
Wittighausen is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
|
E1274226
|
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: Wittighausen | Statement: [Main-Tauber-Kreis, contains, Wittighausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittighausen Context triple: [Main-Tauber-Kreis, contains, Wittighausen]
-
A.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
B.
Waigolshausen
Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
-
C.
Weipertshausen
Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, Germany.
-
D.
Üchtelhausen
Üchtelhausen is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and surrounding Franconian countryside.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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: Wittighausen Triple: [Main-Tauber-Kreis, contains, Wittighausen]
Generated description
Wittighausen is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wittighausen Target entity description: Wittighausen is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
A.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
B.
Waigolshausen
Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
-
C.
Weipertshausen
Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, Germany.
-
D.
Üchtelhausen
Üchtelhausen is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and surrounding Franconian countryside.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa1aeac81909e8d97bd708c6b71 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c927c7c4819091046c686600db9f |
completed | May 11, 2026, 12:18 p.m. |
| NEDg | Description generation | batch_6a01cd5d88948190b347948b1f0584c0 |
completed | May 11, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cdca32e08190aeae5315494f9ab3 |
completed | May 11, 2026, 12:38 p.m. |
Created at: April 10, 2026, 5:34 a.m.