Triple
T5536227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennepetal |
E145167
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Halver
Halver is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its rural character and metalworking industries.
|
E531919
|
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: Halver | Statement: [Ennepetal, hasNeighbouringMunicipality, Halver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halver Context triple: [Ennepetal, hasNeighbouringMunicipality, Halver]
-
A.
Hornstull
Hornstull is a vibrant waterfront neighborhood on the western edge of Södermalm in central Stockholm, known for its bars, restaurants, and cultural venues.
-
B.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
C.
Haselhorst
Haselhorst is a residential and industrial locality in the Spandau borough of Berlin, Germany, known for its housing estates and proximity to the River Havel.
-
D.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
E.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
- 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: Halver Triple: [Ennepetal, hasNeighbouringMunicipality, Halver]
Generated description
Halver is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its rural character and metalworking industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halver Target entity description: Halver is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its rural character and metalworking industries.
-
A.
Hornstull
Hornstull is a vibrant waterfront neighborhood on the western edge of Södermalm in central Stockholm, known for its bars, restaurants, and cultural venues.
-
B.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
C.
Haselhorst
Haselhorst is a residential and industrial locality in the Spandau borough of Berlin, Germany, known for its housing estates and proximity to the River Havel.
-
D.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
E.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb07e748190bea74bbde2d7b8ba |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02814359c8190b868811f22aa568c |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c04441145481909fb7bd26dab129bd |
completed | March 22, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c044a919ec81909469793af9f837ea |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:34 p.m.