Triple
T17799750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merzig-Wadern district |
E444389
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Weiskirchen
Weiskirchen is a municipality in the Saarland region of western Germany, known for its scenic natural surroundings and spa facilities.
|
E1299909
|
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: Weiskirchen | Statement: [Merzig-Wadern district, containsMunicipality, Weiskirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiskirchen Context triple: [Merzig-Wadern district, containsMunicipality, Weiskirchen]
-
A.
Westkirchen
Westkirchen is a village and district of the town of Ennigerloh in North Rhine-Westphalia, Germany, known for its rural character and historic church-centered settlement.
-
B.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
C.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
D.
Niederkirchen
Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
-
E.
Kirchzarten
Kirchzarten is a small town in southwestern Germany’s Black Forest region, near Freiburg im Breisgau, known for its scenic surroundings and outdoor recreation.
- 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: Weiskirchen Triple: [Merzig-Wadern district, containsMunicipality, Weiskirchen]
Generated description
Weiskirchen is a municipality in the Saarland region of western Germany, known for its scenic natural surroundings and spa facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiskirchen Target entity description: Weiskirchen is a municipality in the Saarland region of western Germany, known for its scenic natural surroundings and spa facilities.
-
A.
Westkirchen
Westkirchen is a village and district of the town of Ennigerloh in North Rhine-Westphalia, Germany, known for its rural character and historic church-centered settlement.
-
B.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
C.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
D.
Niederkirchen
Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
-
E.
Kirchzarten
Kirchzarten is a small town in southwestern Germany’s Black Forest region, near Freiburg im Breisgau, known for its scenic surroundings and outdoor recreation.
- 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_6a03379788b08190834924bf6c302c5d |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca5e4c08190b7de8ab2d4fb8e3b |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033daf5b948190926f2925b8e3cc84 |
completed | May 12, 2026, 2:48 p.m. |
Created at: April 10, 2026, 10:13 a.m.