Triple
T10988062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Kissingen (district) |
E259682
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Euerdorf
Euerdorf is a small municipality in the Bavarian region of Lower Franconia in Germany.
|
E964120
|
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: Euerdorf | Statement: [Bad Kissingen (district), contains, Euerdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euerdorf Context triple: [Bad Kissingen (district), contains, Euerdorf]
-
A.
Ebersdorf
Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Aulendorf
Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
-
D.
Eltersdorf
Eltersdorf is a district of the Bavarian city of Erlangen in Germany, known for its residential character and local transport connections.
-
E.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western 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: Euerdorf Triple: [Bad Kissingen (district), contains, Euerdorf]
Generated description
Euerdorf is a small municipality in the Bavarian region of Lower Franconia in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Euerdorf Target entity description: Euerdorf is a small municipality in the Bavarian region of Lower Franconia in Germany.
-
A.
Ebersdorf
Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Aulendorf
Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
-
D.
Eltersdorf
Eltersdorf is a district of the Bavarian city of Erlangen in Germany, known for its residential character and local transport connections.
-
E.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62fa15081909e7c71d8feda7391 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f5ff815b748190932bfe163ea2847d |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60185ce8c8190abe3b1f633aac55d |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:24 p.m.