Triple
T15438035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meschede |
E369819
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Wennemen
Wennemen is a village and district of the town of Meschede in North Rhine-Westphalia, Germany.
|
E1157991
|
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: Wennemen | Statement: [Meschede, hasSubdivision, Wennemen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wennemen Context triple: [Meschede, hasSubdivision, Wennemen]
-
A.
De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
-
B.
Wieuwerd
Wieuwerd is a small village in the Dutch province of Friesland, historically noted as the place where the scholar Anna Maria van Schurman spent her final years.
-
C.
Waremme
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
-
D.
Essingeleden
Essingeleden is a major motorway in Stockholm, Sweden, forming part of the city’s ring road and serving as a key route for through traffic around the central islands.
-
E.
Menmaatre
Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
- 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: Wennemen Triple: [Meschede, hasSubdivision, Wennemen]
Generated description
Wennemen is a village and district of the town of Meschede in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wennemen Target entity description: Wennemen is a village and district of the town of Meschede in North Rhine-Westphalia, Germany.
-
A.
De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
-
B.
Wieuwerd
Wieuwerd is a small village in the Dutch province of Friesland, historically noted as the place where the scholar Anna Maria van Schurman spent her final years.
-
C.
Waremme
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
-
D.
Essingeleden
Essingeleden is a major motorway in Stockholm, Sweden, forming part of the city’s ring road and serving as a key route for through traffic around the central islands.
-
E.
Menmaatre
Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a7d44481909a26b5cc331a3259 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff23348a448190a2a2953a18b29aaf |
completed | May 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.