Triple
T20846292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatonalmádi District |
E513233
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Lovas |
—
|
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: Lovas | Statement: [Balatonalmádi District, hasSettlement, Lovas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovas Context triple: [Balatonalmádi District, hasSettlement, Lovas]
-
A.
Lovas
chosen
Lovas is a small village in Hungary’s Veszprém County, situated near Lake Balaton in the Balatonfüred area.
-
B.
Leninváros
Leninváros was the former name of the Hungarian industrial town now known as Tiszaújváros, developed during the socialist era.
-
C.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
-
D.
Muhos
Muhos is a municipality in Northern Ostrobothnia, Finland, known for its riverside landscapes along the Oulujoki and its proximity to the city of Oulu.
-
E.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
- 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.