Triple
T11704075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felvidék |
E278196
|
entity |
| Predicate | containsHistoricalRegion |
P13711
|
FINISHED |
| Object | Zemplén |
E278195
|
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: Zemplén | Statement: [Felvidék, containsHistoricalRegion, Zemplén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zemplén Context triple: [Felvidék, containsHistoricalRegion, Zemplén]
-
A.
Zemplén Mountains
The Zemplén Mountains are a volcanic mountain range in northeastern Hungary and southeastern Slovakia, known for their forested landscapes, castles, and wine-producing regions.
-
B.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
C.
Zemplín
chosen
Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
-
D.
Nagyerdő
Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
-
E.
Bakony Mountains
The Bakony Mountains are a forested mountain range in western Hungary, forming part of the Transdanubian Mountains and known for their karst landscapes, hiking trails, and natural beauty.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1665e02f88190b805c72d3944a565 |
completed | April 29, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:40 p.m.