Triple
T17799749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merzig-Wadern district |
E444389
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Beckingen
Beckingen is a municipality in the Saarland region of western Germany, known for its rural character and location along the Saar River.
|
E1287701
|
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: Beckingen | Statement: [Merzig-Wadern district, containsMunicipality, Beckingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beckingen Context triple: [Merzig-Wadern district, containsMunicipality, Beckingen]
-
A.
Berching
Berching is a historic small town in Bavaria, Germany, known for its well-preserved medieval walls and picturesque old town.
-
B.
Billerbeck
Billerbeck is a small historic town in North Rhine-Westphalia, Germany, known as a regional pilgrimage site associated with Saint Ludger.
-
C.
Geilenkirchen
Geilenkirchen is a town in western Germany best known for hosting a major NATO airbase that serves as the main hub for the alliance’s Airborne Early Warning and Control (AWACS) operations.
-
D.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
E.
Härkingen
Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
- 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: Beckingen Triple: [Merzig-Wadern district, containsMunicipality, Beckingen]
Generated description
Beckingen is a municipality in the Saarland region of western Germany, known for its rural character and location along the Saar River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beckingen Target entity description: Beckingen is a municipality in the Saarland region of western Germany, known for its rural character and location along the Saar River.
-
A.
Berching
Berching is a historic small town in Bavaria, Germany, known for its well-preserved medieval walls and picturesque old town.
-
B.
Billerbeck
Billerbeck is a small historic town in North Rhine-Westphalia, Germany, known as a regional pilgrimage site associated with Saint Ludger.
-
C.
Geilenkirchen
Geilenkirchen is a town in western Germany best known for hosting a major NATO airbase that serves as the main hub for the alliance’s Airborne Early Warning and Control (AWACS) operations.
-
D.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
E.
Härkingen
Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f84095f48190985b20bc8f049e5b |
completed | May 12, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a02f9078e088190b2e84f219f7457ed |
completed | May 12, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f98c91a481909739f2a8a681286d |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 10:13 a.m.