Triple
T18108302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Spittal an der Drau |
E433404
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Mühldorf
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
|
E1325906
|
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: Mühldorf | Statement: [district of Spittal an der Drau, containsMunicipality, Mühldorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mühldorf Context triple: [district of Spittal an der Drau, containsMunicipality, Mühldorf]
-
A.
Mühldorf am Inn
Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
-
B.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
C.
Möhrendorf
Möhrendorf is a small municipality in the Bavarian region of Franconia in Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Vilich-Müldorf
Vilich-Müldorf is a district within the Beuel borough of Bonn, Germany, characterized by its residential areas and local community amenities.
-
E.
Mammendorf
Mammendorf is a municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
- 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: Mühldorf Triple: [district of Spittal an der Drau, containsMunicipality, Mühldorf]
Generated description
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mühldorf Target entity description: Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
-
A.
Mühldorf am Inn
Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
-
B.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
C.
Möhrendorf
Möhrendorf is a small municipality in the Bavarian region of Franconia in Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Vilich-Müldorf
Vilich-Müldorf is a district within the Beuel borough of Bonn, Germany, characterized by its residential areas and local community amenities.
-
E.
Mammendorf
Mammendorf is a municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbbfae88190aa77f498dbb9edcb |
completed | April 19, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f10b31081909c26a0b539d236a8 |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a043f6141688190add2239930714a0d |
completed | May 13, 2026, 9:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0440296c188190b7af4b133e0620f2 |
completed | May 13, 2026, 9:11 a.m. |
Created at: April 10, 2026, 10:28 a.m.