Triple
T9439524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahn-Dill-Kreis |
E227605
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Waldsolms
Waldsolms is a small municipality in the German state of Hesse, situated in a rural area northwest of Frankfurt.
|
E799387
|
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: Waldsolms | Statement: [Lahn-Dill-Kreis, hasMunicipality, Waldsolms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldsolms Context triple: [Lahn-Dill-Kreis, hasMunicipality, Waldsolms]
-
A.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Waldsassen
Waldsassen is a small town in Bavaria, Germany, known for its historic Cistercian abbey and richly decorated Baroque basilica.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
E.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
- 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: Waldsolms Triple: [Lahn-Dill-Kreis, hasMunicipality, Waldsolms]
Generated description
Waldsolms is a small municipality in the German state of Hesse, situated in a rural area northwest of Frankfurt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waldsolms Target entity description: Waldsolms is a small municipality in the German state of Hesse, situated in a rural area northwest of Frankfurt.
-
A.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Waldsassen
Waldsassen is a small town in Bavaria, Germany, known for its historic Cistercian abbey and richly decorated Baroque basilica.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
E.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee36f908190826994db91b18466 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105909248190b3e02a1aa5f06b11 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d111113c5c81909ff654734b211753 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111ab40a48190bb77c1cf80ef87a8 |
completed | April 4, 2026, 1:27 p.m. |
Created at: March 30, 2026, 7:50 p.m.