Triple
T143116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria |
E2895
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Austrian |
E2895
|
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: Austrian | Statement: [Austria, demonym, Austrian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austrian Context triple: [Austria, demonym, Austrian]
-
A.
Austria
chosen
Austria is a landlocked Central European country known for its Alpine landscapes, rich cultural and musical heritage, and status as a prosperous, democratic member of the European Union.
-
B.
Braunau am Inn
Braunau am Inn is a small Austrian town on the border with Germany, historically known as the birthplace of Adolf Hitler.
-
C.
Germans
Germans are a Central European ethnic group primarily associated with Germany, characterized by the German language and a shared cultural and historical heritage.
-
D.
Bavaria
Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
-
E.
German
German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257caf678819092e975d5167f9df4 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b860df1481909d6d64ac45dd6eae |
completed | Feb. 28, 2026, 9:41 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.