Triple
T9364423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Pfaffenhofen an der Ilm |
E225363
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Jetzendorf
Jetzendorf is a municipality in Bavaria, Germany, situated in the Upper Bavarian region north of Munich.
|
E828656
|
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: Jetzendorf | Statement: [district of Pfaffenhofen an der Ilm, hasMunicipality, Jetzendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jetzendorf Context triple: [district of Pfaffenhofen an der Ilm, hasMunicipality, Jetzendorf]
-
A.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
B.
Teisendorf
Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
-
C.
Guttstadt
Guttstadt is the former German name of the town now known as Dobre Miasto in northern Poland.
-
D.
Wietzendorf
Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
-
E.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
- 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: Jetzendorf Triple: [district of Pfaffenhofen an der Ilm, hasMunicipality, Jetzendorf]
Generated description
Jetzendorf is a municipality in Bavaria, Germany, situated in the Upper Bavarian region north of Munich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jetzendorf Target entity description: Jetzendorf is a municipality in Bavaria, Germany, situated in the Upper Bavarian region north of Munich.
-
A.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
B.
Teisendorf
Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
-
C.
Guttstadt
Guttstadt is the former German name of the town now known as Dobre Miasto in northern Poland.
-
D.
Wietzendorf
Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
-
E.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
- 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_69d20c9b4c3c8190bfe58a75e93b20b8 |
completed | April 5, 2026, 7:17 a.m. |
| NEDg | Description generation | batch_69d20e9f480c819086b0165aa77ddb06 |
completed | April 5, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fa9cab88190bbddcf18b49f8172 |
completed | April 5, 2026, 7:30 a.m. |
Created at: March 30, 2026, 7:42 p.m.