Triple
T21079026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Döbling |
E519311
|
entity |
| Predicate | hasEnglishName |
P3437
|
FINISHED |
| Object |
Doebling
Doebling is the English transliteration of Döbling, a district in Vienna, Austria, known for its residential areas and traditional wine taverns (Heurigen).
|
E1464649
|
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: Doebling | Statement: [Döbling, hasEnglishName, Doebling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doebling Context triple: [Döbling, hasEnglishName, Doebling]
-
A.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
B.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
C.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
-
D.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
E.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
- 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: Doebling Triple: [Döbling, hasEnglishName, Doebling]
Generated description
Doebling is the English transliteration of Döbling, a district in Vienna, Austria, known for its residential areas and traditional wine taverns (Heurigen).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doebling Target entity description: Doebling is the English transliteration of Döbling, a district in Vienna, Austria, known for its residential areas and traditional wine taverns (Heurigen).
-
A.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
B.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
C.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
-
D.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
E.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d939e08190a37d7b7cc1872ad5 |
completed | April 21, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09507a4a048190beda6f1af1b5eb67 |
completed | May 17, 2026, 5:22 a.m. |
| NEDg | Description generation | batch_6a0951a8c31c8190b77554fa0c8a0d80 |
completed | May 17, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09526fc3c4819098fcdfa105b840bd |
completed | May 17, 2026, 5:30 a.m. |
Created at: April 16, 2026, 2:49 p.m.