Triple
T14867038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 Millennium Underground Railway |
E349641
|
entity |
| Predicate | notableStation |
P3858
|
FINISHED |
| Object | Széchenyi fürdő |
E70148
|
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: Széchenyi fürdő | Statement: [M1 Millennium Underground Railway, notableStation, Széchenyi fürdő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Széchenyi fürdő Context triple: [M1 Millennium Underground Railway, notableStation, Széchenyi fürdő]
-
A.
Mátrafüred
Mátrafüred is a small resort village in northern Hungary known as a popular gateway for hiking and nature tourism in the Mátra Mountains.
-
B.
Parádfürdő
Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
-
C.
Hévíz
Hévíz is a Hungarian spa town famous for its large natural thermal lake and wellness tourism.
-
D.
Széchenyi Thermal Bath
chosen
Széchenyi Thermal Bath is one of Europe’s largest and most famous medicinal bath complexes, renowned for its neo-baroque architecture and extensive thermal pools in Budapest, Hungary.
-
E.
Le Sépey
Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway network.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe651067cc8190b9c218ef1f802762 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.