Triple
T5034028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorarlberg |
E113376
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Dornbirn |
E496491
|
NE FINISHED |
How this triple was built (2 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: Dornbirn | Statement: [Vorarlberg, hasCity, Dornbirn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dornbirn Context triple: [Vorarlberg, hasCity, Dornbirn]
-
A.
Dornbirn
chosen
Dornbirn is a major Austrian city in the western state of Vorarlberg, known as an important economic and educational center near the borders with Switzerland and Germany.
-
B.
Gmunden
Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
-
C.
Wörgl
Wörgl is a small Austrian town in the state of Tyrol, known for its role in early 20th-century economic experiments with local currency and its location in the Inn Valley near major Alpine ski areas.
-
D.
Kufstein
Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b8646c8190b3cc20193e4639ee |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed90afc5c8190b205341d1e9dc7bc |
completed | March 21, 2026, 5:44 p.m. |
Created at: March 20, 2026, 1:36 p.m.