Triple
T22950182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiers |
E569991
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Kers (German)
Kers is the German name for the river Chiers, a tributary of the Meuse flowing through Luxembourg, Belgium, and France.
|
E1563461
|
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: Kers (German) | Statement: [Chiers, hasNameInLanguage, Kers (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kers (German) Context triple: [Chiers, hasNameInLanguage, Kers (German)]
-
A.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
-
B.
Wülpke
Wülpke is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
-
C.
Caracciola
Caracciola is the surname of Rudolf Caracciola, a legendary German racing driver renowned for his dominance in Grand Prix and European Championship motor racing during the 1930s.
-
D.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
-
E.
KdF
KdF was a Nazi-era state leisure and tourism organization in Germany designed to provide subsidized vacations and cultural activities while promoting regime propaganda and social control.
- 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: Kers (German) Triple: [Chiers, hasNameInLanguage, Kers (German)]
Generated description
Kers is the German name for the river Chiers, a tributary of the Meuse flowing through Luxembourg, Belgium, and France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kers (German) Target entity description: Kers is the German name for the river Chiers, a tributary of the Meuse flowing through Luxembourg, Belgium, and France.
-
A.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
-
B.
Wülpke
Wülpke is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
-
C.
Caracciola
Caracciola is the surname of Rudolf Caracciola, a legendary German racing driver renowned for his dominance in Grand Prix and European Championship motor racing during the 1930s.
-
D.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
-
E.
KdF
KdF was a Nazi-era state leisure and tourism organization in Germany designed to provide subsidized vacations and cultural activities while promoting regime propaganda and social control.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a1b334819097a4e9ea8a54209c |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca161ddc8190923967d024e894ba |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcaebed688190b2ea74c588922d98 |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbec354081909dbeeb389e86d38c |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.