Triple
T17052978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinkelland |
E413747
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Lattrop-Breklenkamp
Lattrop-Breklenkamp is a rural village in the Dutch province of Overijssel, known for its scenic countryside and location near the German border.
|
E1248507
|
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: Lattrop-Breklenkamp | Statement: [Dinkelland, containsSettlement, Lattrop-Breklenkamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lattrop-Breklenkamp Context triple: [Dinkelland, containsSettlement, Lattrop-Breklenkamp]
-
A.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
B.
Sielkamp
Sielkamp is a district of the town of Sarstedt in Lower Saxony, Germany, forming part of its local residential and community area.
-
C.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
D.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
E.
Weitzel
Weitzel is a surname of likely German or Dutch origin borne by individuals such as Edu Weitzel Douwes Dekker.
- 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: Lattrop-Breklenkamp Triple: [Dinkelland, containsSettlement, Lattrop-Breklenkamp]
Generated description
Lattrop-Breklenkamp is a rural village in the Dutch province of Overijssel, known for its scenic countryside and location near the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lattrop-Breklenkamp Target entity description: Lattrop-Breklenkamp is a rural village in the Dutch province of Overijssel, known for its scenic countryside and location near the German border.
-
A.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
B.
Sielkamp
Sielkamp is a district of the town of Sarstedt in Lower Saxony, Germany, forming part of its local residential and community area.
-
C.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
D.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
E.
Weitzel
Weitzel is a surname of likely German or Dutch origin borne by individuals such as Edu Weitzel Douwes Dekker.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.