Triple
T14224964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malá Fatra National Park |
E352593
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Belá |
E412488
|
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: Belá | Statement: [Malá Fatra National Park, containsMunicipality, Belá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belá Context triple: [Malá Fatra National Park, containsMunicipality, Belá]
-
A.
Belá
chosen
Belá is a mountain river in northern Slovakia known for its clear waters, dynamic flow, and popularity among whitewater enthusiasts.
-
B.
Komárom
Komárom is a Hungarian town on the Danube River known for its historic fortifications and its twin-city relationship with Komárno in Slovakia.
-
C.
Budaörs
Budaörs is a suburban town near Budapest in Hungary, known for its rapid post-communist development and role as a commercial and residential hub.
-
D.
Gödöllő
Gödöllő is a Hungarian town near Budapest best known for its historic Royal Palace, one of the largest Baroque palaces in Hungary.
-
E.
Zsófia
Zsófia is the Hungarian form of the female given name Sophie, commonly used in Hungary and among Hungarian speakers.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0e6abc819097c0c9bdc08387f6 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 10, 2026, 1:06 a.m.