Triple
T22838686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hungarian Plain |
E566015
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object | Alföld |
—
|
NE NERFINISHED |
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: Alföld | Statement: [Great Hungarian Plain, hasCulturalRegion, Alföld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alföld Context triple: [Great Hungarian Plain, hasCulturalRegion, Alföld]
-
A.
Kisalföld
Kisalföld is a fertile lowland region in northwestern Hungary that forms part of the Little Hungarian Plain along the Danube River.
-
B.
Great Hungarian Plain
chosen
The Great Hungarian Plain is a vast lowland region in eastern and southern Hungary known for its flat landscapes, agriculture, and traditional rural culture.
-
C.
Erdő
Erdő is a Hungarian surname most notably borne by Péter Erdő, a prominent Hungarian cardinal and former Primate of Hungary.
-
D.
Little Hungarian Plain
The Little Hungarian Plain is a low-lying agricultural region in northwestern Hungary known for its fertile soils and flat landscape.
-
E.
Kelenföld
Kelenföld is a residential and transport hub neighborhood in southwestern Budapest, known for its major railway and metro interchange and large housing estates.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.