Triple
T5490138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osnabrück district |
E123679
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alfhausen
Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
|
E524418
|
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: Alfhausen | Statement: [Osnabrück district, contains, Alfhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfhausen Context triple: [Osnabrück district, contains, Alfhausen]
-
A.
Alfeld
Alfeld is a small German town in Lower Saxony known for its industrial heritage and the UNESCO-listed Fagus Factory.
-
B.
Fleinhausen
Fleinhausen is a small village in Bavaria, Germany, historically noted as the birthplace of Nazi propagandist Julius Streicher.
-
C.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
-
D.
Gunzenhausen
Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
-
E.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
- 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: Alfhausen Triple: [Osnabrück district, contains, Alfhausen]
Generated description
Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfhausen Target entity description: Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
-
A.
Alfeld
Alfeld is a small German town in Lower Saxony known for its industrial heritage and the UNESCO-listed Fagus Factory.
-
B.
Fleinhausen
Fleinhausen is a small village in Bavaria, Germany, historically noted as the birthplace of Nazi propagandist Julius Streicher.
-
C.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
-
D.
Gunzenhausen
Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
-
E.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927dcb848190a9d31e2435f8a755 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70dcb0c881909d9aaf0050a5c27b |
completed | March 22, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69bf726ca8b08190b4ae9d6d2787b303 |
completed | March 22, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf72b99d988190801d6044fa07310c |
completed | March 22, 2026, 4:40 a.m. |
Created at: March 20, 2026, 2:10 p.m.