Triple
T9213165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Soden am Taunus |
E221174
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Altenhain
Altenhain is a district of the spa town Bad Soden am Taunus in Hesse, Germany, known for its residential character and proximity to the Taunus hills.
|
E787293
|
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: Altenhain | Statement: [Bad Soden am Taunus, hasPart, Altenhain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altenhain Context triple: [Bad Soden am Taunus, hasPart, Altenhain]
-
A.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
C.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
- 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: Altenhain Triple: [Bad Soden am Taunus, hasPart, Altenhain]
Generated description
Altenhain is a district of the spa town Bad Soden am Taunus in Hesse, Germany, known for its residential character and proximity to the Taunus hills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altenhain Target entity description: Altenhain is a district of the spa town Bad Soden am Taunus in Hesse, Germany, known for its residential character and proximity to the Taunus hills.
-
A.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
C.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda05406081909893bec3a092d3ce |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0778e8dc48190bbae39137df966e3 |
completed | April 4, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69d07f131494819096d5313b1e42c11e |
completed | April 4, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07f5f981081908d4c4a392e4c1ffe |
completed | April 4, 2026, 3:02 a.m. |
Created at: March 30, 2026, 7:27 p.m.