Triple
T16899217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margit Kovács Ceramic Museum |
E424389
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Town of Szentendre |
E95946
|
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: Town of Szentendre | Statement: [Margit Kovács Ceramic Museum, ownedBy, Town of Szentendre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Szentendre Context triple: [Margit Kovács Ceramic Museum, ownedBy, Town of Szentendre]
-
A.
Szentendre
chosen
Szentendre is a picturesque riverside town near Budapest in Hungary, known for its baroque architecture, art galleries, and vibrant cultural scene.
-
B.
Devecser
Devecser is a small town in western Hungary known for its location in Veszprém County and for being affected by the 2010 Ajka alumina plant red sludge disaster.
-
C.
Dunakeszi
Dunakeszi is a town in Hungary located just north of Budapest, known as a rapidly growing suburban and commuter settlement along the Danube in Pest County.
-
D.
Tihany
Tihany is a historic village on the northern shore of Lake Balaton in Hungary, renowned for its Benedictine abbey, scenic peninsula, and traditional architecture.
-
E.
Kispest
Kispest is a district in Budapest, Hungary, known as a largely residential area with its own local commercial centers and transport connections.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8da7b0481909111358871875023 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ecafd908190b8a1513138a29303 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:29 a.m.