Triple
T21079034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Döbling |
E519311
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sievering
Sievering is a residential and historically wine-growing neighborhood in Vienna, Austria, located within the district of Döbling.
|
E1464650
|
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: Sievering | Statement: [Döbling, contains, Sievering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sievering Context triple: [Döbling, contains, Sievering]
-
A.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
B.
Stitswerd
Stitswerd is a small village in the northern Netherlands, located in the province of Groningen.
-
C.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
D.
Boshof
Boshof is a small town in South Africa’s Free State province, historically known for its agricultural economy and role in the Anglo-Boer War.
-
E.
Rudersberg
Rudersberg is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
- 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: Sievering Triple: [Döbling, contains, Sievering]
Generated description
Sievering is a residential and historically wine-growing neighborhood in Vienna, Austria, located within the district of Döbling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sievering Target entity description: Sievering is a residential and historically wine-growing neighborhood in Vienna, Austria, located within the district of Döbling.
-
A.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
B.
Stitswerd
Stitswerd is a small village in the northern Netherlands, located in the province of Groningen.
-
C.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
D.
Boshof
Boshof is a small town in South Africa’s Free State province, historically known for its agricultural economy and role in the Anglo-Boer War.
-
E.
Rudersberg
Rudersberg is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
- 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.