Triple
T20846282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatonalmádi District |
E513233
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Balatonalmádi |
—
|
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: Balatonalmádi | Statement: [Balatonalmádi District, seat, Balatonalmádi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balatonalmádi Context triple: [Balatonalmádi District, seat, Balatonalmádi]
-
A.
Balatonalmádi
chosen
Balatonalmádi is a popular Hungarian resort town on the northern shore of Lake Balaton, known for its beaches, holiday facilities, and scenic surroundings.
-
B.
Balatonlelle
Balatonlelle is a popular Hungarian holiday town on the southern shore of Lake Balaton, known for its beaches, family-friendly attractions, and lakeside resorts.
-
C.
Balatonhenye
Balatonhenye is a small village in western Hungary, situated near Lake Balaton in Veszprém County.
-
D.
Balatonudvari
Balatonudvari is a small village in Hungary located near the northern shore of Lake Balaton, known for its scenic surroundings and traditional lakeside character.
-
E.
Balatoncsicsó
Balatoncsicsó is a small village in Veszprém County in western Hungary, situated near Lake Balaton.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34ffb588190881953a0480b29a8 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.