Triple
T13679438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinslaken |
E327959
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Hünxe
Hünxe is a municipality in the Wesel district of North Rhine-Westphalia, Germany, known for its rural character and location within the Lower Rhine region.
|
E1055487
|
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: Hünxe | Statement: [Dinslaken, hasNeighbouringMunicipality, Hünxe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hünxe Context triple: [Dinslaken, hasNeighbouringMunicipality, Hünxe]
-
A.
Huncke
Huncke is the surname of Herbert Huncke, an influential American writer and key figure of the Beat Generation whose life and stories deeply impacted authors like Jack Kerouac and William S. Burroughs.
-
B.
Hünfeld
Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
-
C.
Huny
Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Hohne
Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
- 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: Hünxe Triple: [Dinslaken, hasNeighbouringMunicipality, Hünxe]
Generated description
Hünxe is a municipality in the Wesel district of North Rhine-Westphalia, Germany, known for its rural character and location within the Lower Rhine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hünxe Target entity description: Hünxe is a municipality in the Wesel district of North Rhine-Westphalia, Germany, known for its rural character and location within the Lower Rhine region.
-
A.
Huncke
Huncke is the surname of Herbert Huncke, an influential American writer and key figure of the Beat Generation whose life and stories deeply impacted authors like Jack Kerouac and William S. Burroughs.
-
B.
Hünfeld
Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
-
C.
Huny
Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Hohne
Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944347a08190bc1386e78ddb3e71 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:53 p.m.