Triple
T21287766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diepholz district |
E524705
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Groß Ippener
Groß Ippener is a small rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and village-style settlement.
|
E1476236
|
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: Groß Ippener | Statement: [Diepholz district, contains, Groß Ippener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groß Ippener Context triple: [Diepholz district, contains, Groß Ippener]
-
A.
Wippingen
Wippingen is a village and district (Ortsteil) of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
B.
Hohenfinow
Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
-
C.
Lippe-Biesterfeld
Lippe-Biesterfeld is a cadet branch of the German princely House of Lippe, historically associated with several minor German nobles and later with the Dutch royal family.
-
D.
Damsholte
Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
-
E.
Oelshausen
Oelshausen is a small village that forms one of the constituent localities of the town of Zierenberg in the German state of Hesse.
- 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: Groß Ippener Triple: [Diepholz district, contains, Groß Ippener]
Generated description
Groß Ippener is a small rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and village-style settlement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Groß Ippener Target entity description: Groß Ippener is a small rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and village-style settlement.
-
A.
Wippingen
Wippingen is a village and district (Ortsteil) of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
B.
Hohenfinow
Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
-
C.
Lippe-Biesterfeld
Lippe-Biesterfeld is a cadet branch of the German princely House of Lippe, historically associated with several minor German nobles and later with the Dutch royal family.
-
D.
Damsholte
Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
-
E.
Oelshausen
Oelshausen is a small village that forms one of the constituent localities of the town of Zierenberg in the German state of Hesse.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099809b3d88190b78ddeae641a7abf |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998f27c6c81908a88a4a831445d57 |
completed | May 17, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09996c8d7c81908cc9874f6e1a3fff |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:03 p.m.