Triple
T17013980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vas County |
E412769
|
entity |
| Predicate | hasHistoricalRegion |
P915
|
FINISHED |
| Object | Őrség |
E412770
|
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: Őrség | Statement: [Vas County, hasHistoricalRegion, Őrség]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Őrség Context triple: [Vas County, hasHistoricalRegion, Őrség]
-
A.
Őrség
chosen
Őrség is a scenic, sparsely populated region in western Hungary known for its traditional villages, rolling landscapes, and preserved natural and cultural heritage.
-
B.
Rétság
Rétság is a small town in northern Hungary known as a local administrative and transport hub within Nógrád County.
-
C.
Orlamünde
Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
-
D.
Osor
Osor is a small coastal village on the Croatian island of Cres, known for its historic architecture and position on a narrow channel between Cres and Lošinj.
-
E.
Goranci
Goranci is an alternative name for the Avromani people, a small ethnic group traditionally inhabiting parts of the Balkans.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47e64f081908f43870c7564d0ae |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.