Triple
T6119438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiers |
E136444
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kuer (Luxembourgish)
Kuer is the Luxembourgish name for the Chiers, a river in Western Europe that flows through Luxembourg, Belgium, and France.
|
E569991
|
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: Kuer (Luxembourgish) | Statement: [Chiers, alsoKnownAs, Kuer (Luxembourgish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuer (Luxembourgish) Context triple: [Chiers, alsoKnownAs, Kuer (Luxembourgish)]
-
A.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
B.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
C.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
D.
Differdange
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
-
E.
Kerpen
Kerpen is a town in North Rhine-Westphalia, Germany, known as the birthplace of Formula 1 champion Michael Schumacher and for its proximity to Cologne.
- 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: Kuer (Luxembourgish) Triple: [Chiers, alsoKnownAs, Kuer (Luxembourgish)]
Generated description
Kuer is the Luxembourgish name for the Chiers, a river in Western Europe that flows through Luxembourg, Belgium, and France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuer (Luxembourgish) Target entity description: Kuer is the Luxembourgish name for the Chiers, a river in Western Europe that flows through Luxembourg, Belgium, and France.
-
A.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
B.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
C.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
D.
Differdange
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
-
E.
Kerpen
Kerpen is a town in North Rhine-Westphalia, Germany, known as the birthplace of Formula 1 champion Michael Schumacher and for its proximity to Cologne.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bee12488190ab217e8956f2f1f3 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1257153748190947cd80589620f12 |
completed | March 23, 2026, 11:35 a.m. |
| NEDg | Description generation | batch_69c129464108819086b1a3991ef4c9e1 |
completed | March 23, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129d7cd348190963e1a266d5e88ae |
completed | March 23, 2026, 11:53 a.m. |
Created at: March 22, 2026, 4:14 p.m.