Triple
T11804449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mühlviertel |
E280708
|
entity |
| Predicate | regionalCenter |
P18768
|
FINISHED |
| Object |
Freistadt
Freistadt is a historic small city in Upper Austria known for its well-preserved medieval town center and role as a local cultural and economic hub.
|
E1011290
|
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: Freistadt | Statement: [Mühlviertel, regionalCenter, Freistadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freistadt Context triple: [Mühlviertel, regionalCenter, Freistadt]
-
A.
Kapfenberg
Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
-
B.
Amstetten
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
C.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
D.
Traunkirchen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
-
E.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
- 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: Freistadt Triple: [Mühlviertel, regionalCenter, Freistadt]
Generated description
Freistadt is a historic small city in Upper Austria known for its well-preserved medieval town center and role as a local cultural and economic hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freistadt Target entity description: Freistadt is a historic small city in Upper Austria known for its well-preserved medieval town center and role as a local cultural and economic hub.
-
A.
Kapfenberg
Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
-
B.
Amstetten
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
C.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
D.
Traunkirchen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
-
E.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a5a2048190b68027f622366079 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3b91288190ab2df6103bfa5a91 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b115720481908796955032043530 |
completed | May 3, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ea3d288190875888be8356da48 |
completed | May 3, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.