Triple
T2323188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windhoek |
E48226
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
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.
|
E276179
|
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: Vöcklabruck | Statement: [Windhoek, hasTwinTown, Vöcklabruck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vöcklabruck Context triple: [Windhoek, hasTwinTown, Vöcklabruck]
-
A.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
B.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
C.
Klosterneuburg
Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
-
D.
Amstetten
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
E.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
- 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: Vöcklabruck Triple: [Windhoek, hasTwinTown, Vöcklabruck]
Generated description
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vöcklabruck Target entity description: Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
A.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
B.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
C.
Klosterneuburg
Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
-
D.
Amstetten
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
E.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc645bac081908c0b161d0ca99aaf |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cc87e3c8190832d6812a4282ed7 |
completed | March 9, 2026, 11:50 p.m. |
| NEDg | Description generation | batch_69af5d362614819095ea9d74851d0b72 |
completed | March 9, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5d9f5f608190b6e4c216a0c08bfd |
completed | March 9, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:49 p.m.