Triple
T19846432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limburg-Weilburg |
E476870
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Löhnberg
Löhnberg is a small municipality in the Limburg-Weilburg district of Hesse, Germany, known for its location along the Lahn River and its surrounding natural landscapes.
|
E1406640
|
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: Löhnberg | Statement: [Limburg-Weilburg, contains, Löhnberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Löhnberg Context triple: [Limburg-Weilburg, contains, Löhnberg]
-
A.
Lübbecke
Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
-
B.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
C.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Löffingen
Löffingen is a small town in southwestern Germany’s Black Forest region, known for its historic town center and scenic natural surroundings.
-
E.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
- 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: Löhnberg Triple: [Limburg-Weilburg, contains, Löhnberg]
Generated description
Löhnberg is a small municipality in the Limburg-Weilburg district of Hesse, Germany, known for its location along the Lahn River and its surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Löhnberg Target entity description: Löhnberg is a small municipality in the Limburg-Weilburg district of Hesse, Germany, known for its location along the Lahn River and its surrounding natural landscapes.
-
A.
Lübbecke
Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
-
B.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
C.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Löffingen
Löffingen is a small town in southwestern Germany’s Black Forest region, known for its historic town center and scenic natural surroundings.
-
E.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65809da2c8190bb579ef42513b74d |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e11c48081909366df335b984e19 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ed8c5b481908f7991f376619997 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f3edff481908781008206019093 |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 10, 2026, 1:51 p.m.