Triple
T23171315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gusen I |
E578867
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
St. Georgen an der Gusen
St. Georgen an der Gusen is a small town in Upper Austria known for its proximity to former World War II concentration camp sites and its role in regional history.
|
E1573078
|
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: St. Georgen an der Gusen | Statement: [Gusen I, near, St. Georgen an der Gusen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Georgen an der Gusen Context triple: [Gusen I, near, St. Georgen an der Gusen]
-
A.
St. Georgen
St. Georgen is a town in Germany’s Black Forest region known for its scenic surroundings and traditional Black Forest culture.
-
B.
Oetinghausen
Oetinghausen is a village and district within the municipality of Hiddenhausen in the German state of North Rhine-Westphalia.
-
C.
Gänserndorf
Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
-
D.
Oberpullendorf
Oberpullendorf is a small town in the Austrian state of Burgenland, known as a local administrative and commercial center near the Hungarian border.
-
E.
Großkrausnik
Großkrausnik is a small village in the German state of Brandenburg.
- 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: St. Georgen an der Gusen Triple: [Gusen I, near, St. Georgen an der Gusen]
Generated description
St. Georgen an der Gusen is a small town in Upper Austria known for its proximity to former World War II concentration camp sites and its role in regional history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Georgen an der Gusen Target entity description: St. Georgen an der Gusen is a small town in Upper Austria known for its proximity to former World War II concentration camp sites and its role in regional history.
-
A.
St. Georgen
St. Georgen is a town in Germany’s Black Forest region known for its scenic surroundings and traditional Black Forest culture.
-
B.
Oetinghausen
Oetinghausen is a village and district within the municipality of Hiddenhausen in the German state of North Rhine-Westphalia.
-
C.
Gänserndorf
Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
-
D.
Oberpullendorf
Oberpullendorf is a small town in the Austrian state of Burgenland, known as a local administrative and commercial center near the Hungarian border.
-
E.
Großkrausnik
Großkrausnik is a small village in the German state of Brandenburg.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f3007108190bc3c831f81ae1dce |
completed | April 29, 2026, 4:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30aa91488190a115f3a44ff25348 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c326f3b4c819099ea8776b84fa279 |
completed | May 19, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32ece3148190a22881d69c42e948 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4:03 p.m.