Triple
T11269683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witmarsum, Friesland |
E266777
|
entity |
| Predicate | locatedInFormerMunicipality |
P29444
|
FINISHED |
| Object |
Wûnseradiel
Wûnseradiel was a former municipality in the Dutch province of Friesland, known for its rural villages and historic Frisian character.
|
E915166
|
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: Wûnseradiel | Statement: [Witmarsum, Friesland, locatedInFormerMunicipality, Wûnseradiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wûnseradiel Context triple: [Witmarsum, Friesland, locatedInFormerMunicipality, Wûnseradiel]
-
A.
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
B.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
C.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
D.
Rinkerode
Rinkerode is a village in North Rhine-Westphalia, Germany, known as a district of the town of Drensteinfurt in the Münster region.
-
E.
Wiehe
Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
- 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: Wûnseradiel Triple: [Witmarsum, Friesland, locatedInFormerMunicipality, Wûnseradiel]
Generated description
Wûnseradiel was a former municipality in the Dutch province of Friesland, known for its rural villages and historic Frisian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wûnseradiel Target entity description: Wûnseradiel was a former municipality in the Dutch province of Friesland, known for its rural villages and historic Frisian character.
-
A.
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
B.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
C.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
D.
Rinkerode
Rinkerode is a village in North Rhine-Westphalia, Germany, known as a district of the town of Drensteinfurt in the Münster region.
-
E.
Wiehe
Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccdf9e0c819098a921146e8d6e30 |
completed | April 19, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69e4d9ed6a048190ae7476d44cee6a6e |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddb1b4c8819087699bc73610c7f8 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.