Triple
T10307103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forchheim district |
E241792
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Hallerndorf
Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
|
E930264
|
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: Hallerndorf | Statement: [Forchheim district, containsTown, Hallerndorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallerndorf Context triple: [Forchheim district, containsTown, Hallerndorf]
-
A.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
B.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
C.
Hunderdorf
Hunderdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
- 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: Hallerndorf Triple: [Forchheim district, containsTown, Hallerndorf]
Generated description
Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hallerndorf Target entity description: Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
-
A.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
B.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
C.
Hunderdorf
Hunderdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30a6c888190acdd0a645247736a |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e623a9711081908eac4238a717305c |
completed | April 20, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69e62aee8fb88190b5973c61e692087f |
completed | April 20, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e67394e7f081908fcc602c84eb4a65 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 6, 2026, 11:46 a.m.