Triple
T13719865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plombières |
E329000
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gemmenich
Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
|
E1059484
|
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: Gemmenich | Statement: [Plombières, contains, Gemmenich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemmenich Context triple: [Plombières, contains, Gemmenich]
-
A.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
B.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
C.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Harzburg
Harzburg is a historic town in Lower Saxony, Germany, known for its medieval castle ruins and role as a former stronghold of regional nobility.
- 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: Gemmenich Triple: [Plombières, contains, Gemmenich]
Generated description
Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gemmenich Target entity description: Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
-
A.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
B.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
C.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Harzburg
Harzburg is a historic town in Lower Saxony, Germany, known for its medieval castle ruins and role as a former stronghold of regional nobility.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84a2ed481909005720b0531e585 |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a994cd688190a077a4854c5c71c9 |
completed | May 3, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa2f696081908f48d44bf7271abc |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 9:55 p.m.