Triple
T13278349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillingen district |
E316249
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Syrgenstein
Syrgenstein is a small municipality in the Bavarian region of southern Germany.
|
E1030863
|
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: Syrgenstein | Statement: [Dillingen district, containsMunicipality, Syrgenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syrgenstein Context triple: [Dillingen district, containsMunicipality, Syrgenstein]
-
A.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
-
B.
Gilserberg
Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
-
C.
Burggen
Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, 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: Syrgenstein Triple: [Dillingen district, containsMunicipality, Syrgenstein]
Generated description
Syrgenstein is a small municipality in the Bavarian region of southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syrgenstein Target entity description: Syrgenstein is a small municipality in the Bavarian region of southern Germany.
-
A.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
-
B.
Gilserberg
Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
-
C.
Burggen
Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, 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_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_69f70a56fa048190b32dcef31b978d9c |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b8f325c819097fb5f221ba28b9a |
completed | May 3, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:26 p.m.