Triple
T9364421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Pfaffenhofen an der Ilm |
E225363
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Hettenshausen
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
|
E861197
|
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: Hettenshausen | Statement: [district of Pfaffenhofen an der Ilm, hasMunicipality, Hettenshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hettenshausen Context triple: [district of Pfaffenhofen an der Ilm, hasMunicipality, Hettenshausen]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
C.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
D.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
-
E.
Thannhausen
Thannhausen is a small town in the Bavarian region of Swabia in southern Germany.
- 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: Hettenshausen Triple: [district of Pfaffenhofen an der Ilm, hasMunicipality, Hettenshausen]
Generated description
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hettenshausen Target entity description: Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
C.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
D.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
-
E.
Thannhausen
Thannhausen is a small town in the Bavarian region of Swabia in southern Germany.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503fd7f081909655e2a880c84834 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7faf8c1048190a136289a44a0930b |
completed | April 9, 2026, 7:16 p.m. |
| NEDg | Description generation | batch_69d81c40dc6081908cc186ee6cd0814e |
completed | April 9, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8277fbf0881908a1e16d6c07886e6 |
completed | April 9, 2026, 10:26 p.m. |
Created at: March 30, 2026, 7:42 p.m.