Triple
T1213192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oświęcim |
E26048
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Mödling
Mödling is a historic town in Lower Austria, near Vienna, known for its picturesque old town, wine culture, and proximity to the Vienna Woods.
|
E164446
|
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: Mödling | Statement: [Oświęcim, twinTown, Mödling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mödling Context triple: [Oświęcim, twinTown, Mödling]
-
A.
Seibersdorf
Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
-
B.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
-
C.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
D.
Graz
Graz is Austria’s second-largest city, known for its well-preserved medieval old town and historic role as a center of science and education.
-
E.
Salzburg
Salzburg is a historic Austrian city on the Salzach River, renowned for its baroque architecture, Alpine setting, and as the birthplace of composer Wolfgang Amadeus Mozart.
- 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: Mödling Triple: [Oświęcim, twinTown, Mödling]
Generated description
Mödling is a historic town in Lower Austria, near Vienna, known for its picturesque old town, wine culture, and proximity to the Vienna Woods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mödling Target entity description: Mödling is a historic town in Lower Austria, near Vienna, known for its picturesque old town, wine culture, and proximity to the Vienna Woods.
-
A.
Seibersdorf
Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
-
B.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
-
C.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
D.
Graz
Graz is Austria’s second-largest city, known for its well-preserved medieval old town and historic role as a center of science and education.
-
E.
Salzburg
Salzburg is a historic Austrian city on the Salzach River, renowned for its baroque architecture, Alpine setting, and as the birthplace of composer Wolfgang Amadeus Mozart.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be024e448190ba263a0cc5cc9cd5 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad014954b08190a787d7e03e503d8d |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad039c5d788190aa10636e2827b489 |
completed | March 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad03fa7b0c8190906ed79f24723216 |
completed | March 8, 2026, 5:07 a.m. |
Created at: March 1, 2026, 7:46 p.m.