Triple
T11737610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwechat |
E279069
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Mannswörth
Mannswörth is a village and cadastral community in Lower Austria, known for its proximity to Vienna and the Vienna International Airport.
|
E944227
|
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: Mannswörth | Statement: [Schwechat, hasNeighbour, Mannswörth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mannswörth Context triple: [Schwechat, hasNeighbour, Mannswörth]
-
A.
Ottobeuren
Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
-
B.
Holdorf
Holdorf is a municipality in Lower Saxony, Germany, situated within the predominantly rural District of Vechta.
-
C.
Königsfeld
Königsfeld is a small municipality in the Free State of Saxony in eastern Germany, situated within the rural region of Mittelsachsen.
-
D.
Pegnitz
Pegnitz is a river in the German state of Bavaria that flows through cities such as Nuremberg and Bayreuth before joining the Rednitz to form the Regnitz.
-
E.
Sündersbühl
Sündersbühl is a district in Nuremberg, Germany, served by the city’s U3 underground line.
- 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: Mannswörth Triple: [Schwechat, hasNeighbour, Mannswörth]
Generated description
Mannswörth is a village and cadastral community in Lower Austria, known for its proximity to Vienna and the Vienna International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mannswörth Target entity description: Mannswörth is a village and cadastral community in Lower Austria, known for its proximity to Vienna and the Vienna International Airport.
-
A.
Ottobeuren
Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
-
B.
Holdorf
Holdorf is a municipality in Lower Saxony, Germany, situated within the predominantly rural District of Vechta.
-
C.
Königsfeld
Königsfeld is a small municipality in the Free State of Saxony in eastern Germany, situated within the rural region of Mittelsachsen.
-
D.
Pegnitz
Pegnitz is a river in the German state of Bavaria that flows through cities such as Nuremberg and Bayreuth before joining the Rednitz to form the Regnitz.
-
E.
Sündersbühl
Sündersbühl is a district in Nuremberg, Germany, served by the city’s U3 underground line.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019c339cc81909967ecfa234e4ab8 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f01d7ab930819095eaae226ab55b80 |
completed | April 28, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f043ddbfe481908e0c439dbd3e944f |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.