Triple
T9833949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marburg-Biedenkopf |
E239053
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Wohratal
Wohratal is a small rural municipality in the Marburg-Biedenkopf district of the German state of Hesse.
|
E835611
|
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: Wohratal | Statement: [Marburg-Biedenkopf, containsMunicipality, Wohratal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wohratal Context triple: [Marburg-Biedenkopf, containsMunicipality, Wohratal]
-
A.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
-
B.
Münstertal
Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
-
C.
Welschenrohr
Welschenrohr is a village and former municipality in the canton of Solothurn in northwestern Switzerland, situated in a rural, hilly region near the Jura Mountains.
-
D.
Niederwiesa
Niederwiesa is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Chemnitz.
-
E.
Alpirsbach
Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
- 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: Wohratal Triple: [Marburg-Biedenkopf, containsMunicipality, Wohratal]
Generated description
Wohratal is a small rural municipality in the Marburg-Biedenkopf district of the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wohratal Target entity description: Wohratal is a small rural municipality in the Marburg-Biedenkopf district of the German state of Hesse.
-
A.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
-
B.
Münstertal
Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
-
C.
Welschenrohr
Welschenrohr is a village and former municipality in the canton of Solothurn in northwestern Switzerland, situated in a rural, hilly region near the Jura Mountains.
-
D.
Niederwiesa
Niederwiesa is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Chemnitz.
-
E.
Alpirsbach
Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3385054819094145c96204e3f0d |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269b54d04819096ddc9f16a6db17b |
completed | April 5, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:32 p.m.