Triple
T15380932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim district |
E367796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Duingen
Duingen is a small municipality in Lower Saxony, Germany, known for its rural setting and location within the Hildesheim district.
|
E1152990
|
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: Duingen | Statement: [Hildesheim district, contains, Duingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duingen Context triple: [Hildesheim district, contains, Duingen]
-
A.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
B.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
-
C.
Düsedau
Düsedau is a small locality that forms part of the town of Peine in Lower Saxony, Germany.
-
D.
Bobingen
Bobingen is a small town in Bavaria, Germany, situated near Augsburg and known for its location along the Wertach River.
-
E.
Erkelenz
Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
- 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: Duingen Triple: [Hildesheim district, contains, Duingen]
Generated description
Duingen is a small municipality in Lower Saxony, Germany, known for its rural setting and location within the Hildesheim district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duingen Target entity description: Duingen is a small municipality in Lower Saxony, Germany, known for its rural setting and location within the Hildesheim district.
-
A.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
B.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
-
C.
Düsedau
Düsedau is a small locality that forms part of the town of Peine in Lower Saxony, Germany.
-
D.
Bobingen
Bobingen is a small town in Bavaria, Germany, situated near Augsburg and known for its location along the Wertach River.
-
E.
Erkelenz
Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5996408190afab2221d38e0027 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bf572bc819088ee173d1e0bf5b0 |
completed | May 9, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0d5d01308190b1f920042e12b0f3 |
completed | May 9, 2026, 10:33 a.m. |
Created at: April 10, 2026, 3:19 a.m.