Triple
T20976182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatonfűzfő |
E516630
|
entity |
| Predicate | isLocatedNear |
P350
|
FINISHED |
| Object | Balatonkenese |
—
|
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: Balatonkenese | Statement: [Balatonfűzfő, isLocatedNear, Balatonkenese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balatonkenese Context triple: [Balatonfűzfő, isLocatedNear, Balatonkenese]
-
A.
Balatonkenese
chosen
Balatonkenese is a small Hungarian town on the northeastern shore of Lake Balaton, known as a lakeside resort and holiday destination.
-
B.
Balatonakali
Balatonakali is a small Hungarian village on the northern shore of Lake Balaton, known for its beaches, vineyards, and lakeside tourism.
-
C.
Balatoni út
Balatoni út is a major road in Budapest, Hungary, that runs through the city’s southern districts and provides access toward Lake Balaton and nearby attractions such as Memento Park (Szoborpark).
-
D.
Liskamm
Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
-
E.
Balatonhenye
Balatonhenye is a small village in western Hungary, situated near Lake Balaton in Veszprém County.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:47 p.m.