Triple
T15109802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peel region |
E360880
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ysselsteyn
Ysselsteyn is a village in the Dutch province of Limburg, known for its large German war cemetery and agricultural surroundings.
|
E1138885
|
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: Ysselsteyn | Statement: [Peel region, contains, Ysselsteyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ysselsteyn Context triple: [Peel region, contains, Ysselsteyn]
-
A.
Greifelt
Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
-
B.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
C.
Kevelaer
Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
-
D.
Vezhof
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
-
E.
Camperduin
Camperduin is a coastal village in North Holland, Netherlands, historically notable as the namesake of the naval Battle of Camperdown.
- 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: Ysselsteyn Triple: [Peel region, contains, Ysselsteyn]
Generated description
Ysselsteyn is a village in the Dutch province of Limburg, known for its large German war cemetery and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ysselsteyn Target entity description: Ysselsteyn is a village in the Dutch province of Limburg, known for its large German war cemetery and agricultural surroundings.
-
A.
Greifelt
Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
-
B.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
C.
Kevelaer
Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
-
D.
Vezhof
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
-
E.
Camperduin
Camperduin is a coastal village in North Holland, Netherlands, historically notable as the namesake of the naval Battle of Camperdown.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058c04f481909deeac0271d961b6 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eb139c8190b76393e4a8be576b |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb9f7b6d88190886fd65ce736ed1b |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febaa20ffc819090dd4b113d8513d7 |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 10, 2026, 3:05 a.m.