Triple
T5608890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonding |
E147302
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Pasching
Pasching is a small municipality in Upper Austria, near Linz, known for its shopping centers and the Waldstadion football stadium.
|
E540799
|
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: Pasching | Statement: [Leonding, adjacentTo, Pasching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasching Context triple: [Leonding, adjacentTo, Pasching]
-
A.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
B.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
C.
Gmunden
Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
-
D.
Grödig
Grödig is a municipality in the Austrian state of Salzburg, located just south of the city of Salzburg near the Untersberg mountain.
-
E.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
- 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: Pasching Triple: [Leonding, adjacentTo, Pasching]
Generated description
Pasching is a small municipality in Upper Austria, near Linz, known for its shopping centers and the Waldstadion football stadium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pasching Target entity description: Pasching is a small municipality in Upper Austria, near Linz, known for its shopping centers and the Waldstadion football stadium.
-
A.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
B.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
C.
Gmunden
Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
-
D.
Grödig
Grödig is a municipality in the Austrian state of Salzburg, located just south of the city of Salzburg near the Untersberg mountain.
-
E.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fe7ee0819088ced51afd9a4f93 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a074b7c8190ab70dde6f35f84d6 |
completed | March 22, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69c05c1d98b4819080ae9163a0cfd659 |
completed | March 22, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05caea8b881908a4d12aec44f422e |
completed | March 22, 2026, 9:18 p.m. |
Created at: March 22, 2026, 3:39 p.m.