Triple
T15937026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaustadt |
E386464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stadlau
Stadlau is a residential and commercial neighborhood in Vienna’s 22nd district, Donaustadt, known for its transport links and mixed urban development.
|
E1184442
|
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: Stadlau | Statement: [Donaustadt, contains, Stadlau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadlau Context triple: [Donaustadt, contains, Stadlau]
-
A.
Günterstal
Günterstal is a district of Freiburg im Breisgau in southwestern Germany, known for its scenic valley setting in the Black Forest and historic monastery.
-
B.
Stauchitz
Stauchitz is a small municipality in the Free State of Saxony in eastern Germany, known for its rural character and location within the historic Meissen region.
-
C.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
D.
Tennstädt
Tennstädt is a small town in the Thuringia region of central Germany.
-
E.
Riederau
Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
- 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: Stadlau Triple: [Donaustadt, contains, Stadlau]
Generated description
Stadlau is a residential and commercial neighborhood in Vienna’s 22nd district, Donaustadt, known for its transport links and mixed urban development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stadlau Target entity description: Stadlau is a residential and commercial neighborhood in Vienna’s 22nd district, Donaustadt, known for its transport links and mixed urban development.
-
A.
Günterstal
Günterstal is a district of Freiburg im Breisgau in southwestern Germany, known for its scenic valley setting in the Black Forest and historic monastery.
-
B.
Stauchitz
Stauchitz is a small municipality in the Free State of Saxony in eastern Germany, known for its rural character and location within the historic Meissen region.
-
C.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
D.
Tennstädt
Tennstädt is a small town in the Thuringia region of central Germany.
-
E.
Riederau
Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ab7f548190b2d1aafa0e6d2c24 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b8121881909b15bf6451d3d3a8 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb718d60481908ac0034ed8d8abc5 |
completed | May 9, 2026, 10:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7c98cf8819097c7012040dbfe89 |
completed | May 9, 2026, 10:40 p.m. |
Created at: April 10, 2026, 4:53 a.m.