Triple
T13278350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillingen district |
E316249
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Villenbach
Villenbach is a small municipality in the Bavarian region of southern Germany.
|
E1044145
|
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: Villenbach | Statement: [Dillingen district, containsMunicipality, Villenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villenbach Context triple: [Dillingen district, containsMunicipality, Villenbach]
-
A.
Erlbach
Erlbach is a small municipality in Bavaria, Germany, known for its rural character within the southeastern Bavarian region.
-
B.
Breidenbach
Breidenbach is a small town located in the German region of Westphalia.
-
C.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
-
D.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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: Villenbach Triple: [Dillingen district, containsMunicipality, Villenbach]
Generated description
Villenbach is a small municipality in the Bavarian region of southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villenbach Target entity description: Villenbach is a small municipality in the Bavarian region of southern Germany.
-
A.
Erlbach
Erlbach is a small municipality in Bavaria, Germany, known for its rural character within the southeastern Bavarian region.
-
B.
Breidenbach
Breidenbach is a small town located in the German region of Westphalia.
-
C.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
-
D.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99043fba88190872ede6f63e2fbcb |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546e0b148190a78e6da408347690 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f75595c874819088c192f9f5d31f01 |
completed | May 3, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7560bf3f88190847adca083f236fe |
completed | May 3, 2026, 2:05 p.m. |
Created at: April 9, 2026, 9:26 p.m.