Triple
T11775224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rat für deutsche Rechtschreibung |
E280000
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object | Österreich |
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: Österreich | Statement: [Rat für deutsche Rechtschreibung, hasJurisdiction, Österreich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Österreich Context triple: [Rat für deutsche Rechtschreibung, hasJurisdiction, Österreich]
-
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.
Germany and Austria
Germany and Austria are neighboring Central European countries that share historical, cultural, and linguistic ties, including a common use of the German language.
-
C.
Austria and Hungary
Austria and Hungary are neighboring Central European countries with closely linked histories, cultures, and transportation networks.
-
D.
Austria and Slovakia
Austria and Slovakia are neighboring Central European countries that share a border along the Morava River.
-
E.
Styria
Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55f415081908eec78cb2c956598 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4580c9f7481908a45e6c098c06378 |
completed | May 1, 2026, 7:36 a.m. |
Created at: April 8, 2026, 9:41 p.m.