Triple
T20644867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmunden District |
E507327
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Pinsdorf
Pinsdorf is a municipality in the Austrian state of Upper Austria, situated near the town of Gmunden and the Traunsee lake.
|
E1450601
|
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: Pinsdorf | Statement: [Gmunden District, containsMunicipality, Pinsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinsdorf Context triple: [Gmunden District, containsMunicipality, Pinsdorf]
-
A.
Pfersdorf
Pfersdorf is a village-level subdivision of the municipality of Roth in Bavaria, Germany.
-
B.
Patersdorf
Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
-
D.
Hagenberg
Hagenberg is an Austrian town in Upper Austria known as a regional hub for computer science and technology, hosting institutions such as the Research Institute for Symbolic Computation.
-
E.
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.
- 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: Pinsdorf Triple: [Gmunden District, containsMunicipality, Pinsdorf]
Generated description
Pinsdorf is a municipality in the Austrian state of Upper Austria, situated near the town of Gmunden and the Traunsee lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pinsdorf Target entity description: Pinsdorf is a municipality in the Austrian state of Upper Austria, situated near the town of Gmunden and the Traunsee lake.
-
A.
Pfersdorf
Pfersdorf is a village-level subdivision of the municipality of Roth in Bavaria, Germany.
-
B.
Patersdorf
Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
-
D.
Hagenberg
Hagenberg is an Austrian town in Upper Austria known as a regional hub for computer science and technology, hosting institutions such as the Research Institute for Symbolic Computation.
-
E.
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.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8a685648190b39df6bbd4739b0b |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f97974308190af0d39a3a2d6853a |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9e50c6481908be5a61dab994012 |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.