Triple
T18333115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graz-Umgebung District |
E439197
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Frohnleiten
Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
|
E1318241
|
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: Frohnleiten | Statement: [Graz-Umgebung District, contains, Frohnleiten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frohnleiten Context triple: [Graz-Umgebung District, contains, Frohnleiten]
-
A.
Rugendorf
Rugendorf is a small municipality in the Bavarian region of Upper Franconia in Germany.
-
B.
Kriegstetten
Kriegstetten is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau region.
-
C.
Argenbühl
Argenbühl is a rural municipality in the district of Ravensburg in Baden-Württemberg, Germany, situated in the scenic Allgäu region.
-
D.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
E.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
- 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: Frohnleiten Triple: [Graz-Umgebung District, contains, Frohnleiten]
Generated description
Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frohnleiten Target entity description: Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
-
A.
Rugendorf
Rugendorf is a small municipality in the Bavarian region of Upper Franconia in Germany.
-
B.
Kriegstetten
Kriegstetten is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau region.
-
C.
Argenbühl
Argenbühl is a rural municipality in the district of Ravensburg in Baden-Württemberg, Germany, situated in the scenic Allgäu region.
-
D.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
E.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecbc76c8190a80c0c8c8bce1cbd |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4d085748190bfd9a7e94f1344a5 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c570ed348190a7e19eed29b06909 |
completed | May 13, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c5ec00a88190a93c3be5dd3bc6ee |
completed | May 13, 2026, 12:29 a.m. |
Created at: April 10, 2026, 10:36 a.m.