Triple
T22030819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linz-Land District |
E544079
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sankt Florian
Sankt Florian is a market town in Upper Austria best known for its historic Augustinian monastery, St. Florian Abbey.
|
E1527596
|
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: Sankt Florian | Statement: [Linz-Land District, hasMunicipality, Sankt Florian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sankt Florian Context triple: [Linz-Land District, hasMunicipality, Sankt Florian]
-
A.
Sankt Veit an der Glan
Sankt Veit an der Glan is a historic town in the Austrian state of Carinthia, known for its medieval architecture and role as a former ducal residence.
-
B.
Sankt Veit am Flaum
Sankt Veit am Flaum is the historical German name for the Croatian port city of Rijeka on the Adriatic Sea.
-
C.
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.
-
D.
Sankt Veit
Sankt Veit is a common Central European place name, typically referring to towns or parishes named after Saint Vitus.
-
E.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
- 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: Sankt Florian Triple: [Linz-Land District, hasMunicipality, Sankt Florian]
Generated description
Sankt Florian is a market town in Upper Austria best known for its historic Augustinian monastery, St. Florian Abbey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sankt Florian Target entity description: Sankt Florian is a market town in Upper Austria best known for its historic Augustinian monastery, St. Florian Abbey.
-
A.
Sankt Veit an der Glan
Sankt Veit an der Glan is a historic town in the Austrian state of Carinthia, known for its medieval architecture and role as a former ducal residence.
-
B.
Sankt Veit am Flaum
Sankt Veit am Flaum is the historical German name for the Croatian port city of Rijeka on the Adriatic Sea.
-
C.
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.
-
D.
Sankt Veit
Sankt Veit is a common Central European place name, typically referring to towns or parishes named after Saint Vitus.
-
E.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ed0cb08190aead0838cc62934c |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab6447c248190992069ae0257c38b |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab77252b0819098e9daa2930ceb6a |
completed | May 18, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab81e47a08190b4148080f363fcf5 |
completed | May 18, 2026, 6:56 a.m. |
Created at: April 16, 2026, 8:24 p.m.