Triple
T10012740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POSZT |
E199412
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Baranya County |
E199407
|
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: Baranya County | Statement: [POSZT, region, Baranya County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baranya County Context triple: [POSZT, region, Baranya County]
-
A.
Baranya County
chosen
Baranya County is an administrative region in southern Hungary known for its cultural center Pécs, wine-producing areas, and diverse natural landscapes.
-
B.
Veszprém County
Veszprém County is an administrative region in western Hungary known for its historic city of Veszprém and its location along the northern shore of Lake Balaton.
-
C.
Zala County
Zala County is an administrative region in southwestern Hungary known for its rolling hills, thermal spas, and proximity to Lake Balaton and the Croatian border.
-
D.
Sümeg District
Sümeg District is an administrative district in western Hungary, located within Veszprém County and centered around the town of Sümeg.
-
E.
Heves County
Heves County is an administrative region in northern Hungary known for its natural landscapes, including part of the Mátra mountain range, and historic towns such as Eger.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd3cf5b881908f5318e55bdd22b6 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb8b92b0819081e5ac52e2f4f27e |
completed | April 5, 2026, 8:52 p.m. |
Created at: March 30, 2026, 8:52 p.m.