Triple
T16763159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Wesel |
E407395
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kamp-Lintfort
Kamp-Lintfort is a town in western Germany’s North Rhine-Westphalia, known for its mining heritage and location in the Lower Rhine region.
|
E1231533
|
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: Kamp-Lintfort | Statement: [district of Wesel, containsTown, Kamp-Lintfort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamp-Lintfort Context triple: [district of Wesel, containsTown, Kamp-Lintfort]
-
A.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
B.
Rixensart
Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
-
C.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
D.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
E.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
- 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: Kamp-Lintfort Triple: [district of Wesel, containsTown, Kamp-Lintfort]
Generated description
Kamp-Lintfort is a town in western Germany’s North Rhine-Westphalia, known for its mining heritage and location in the Lower Rhine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamp-Lintfort Target entity description: Kamp-Lintfort is a town in western Germany’s North Rhine-Westphalia, known for its mining heritage and location in the Lower Rhine region.
-
A.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
B.
Rixensart
Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
-
C.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
D.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
E.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a5f02c388190b3f6fb26798f2393 |
completed | May 10, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a68b92b48190865ddd477a8ba1c6 |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.