Triple
T22939715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibbenbüren |
E569686
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Püsselbüren
Püsselbüren is a district or locality within the town of Ibbenbüren in North Rhine-Westphalia, Germany.
|
E1562606
|
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: Püsselbüren | Statement: [Ibbenbüren, hasSubdivision, Püsselbüren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Püsselbüren Context triple: [Ibbenbüren, hasSubdivision, Püsselbüren]
-
A.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
B.
Bürchen
Bürchen is a small alpine municipality and popular holiday resort in the canton of Valais in southwestern Switzerland.
-
C.
Pfäfers
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
D.
Schüfftan
Schüfftan is a German surname most notably associated with cinematographer Eugen Schüfftan, pioneer of the Schüfftan process in visual effects.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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: Püsselbüren Triple: [Ibbenbüren, hasSubdivision, Püsselbüren]
Generated description
Püsselbüren is a district or locality within the town of Ibbenbüren in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Püsselbüren Target entity description: Püsselbüren is a district or locality within the town of Ibbenbüren in North Rhine-Westphalia, Germany.
-
A.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
B.
Bürchen
Bürchen is a small alpine municipality and popular holiday resort in the canton of Valais in southwestern Switzerland.
-
C.
Pfäfers
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
D.
Schüfftan
Schüfftan is a German surname most notably associated with cinematographer Eugen Schüfftan, pioneer of the Schüfftan process in visual effects.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813844b88190b05d3829b0c423c4 |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc252cae48190bd7407dd38a21b19 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc455519c8190971c20082604846c |
completed | May 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc533510c8190a286a7ebb1e7c3b7 |
completed | May 19, 2026, 2:04 a.m. |
Created at: April 17, 2026, 3:45 p.m.