Triple
T11895566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunajská Streda |
E283026
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Nagykőrös |
E883253
|
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: Nagykőrös | Statement: [Dunajská Streda, hasTwinTown, Nagykőrös]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagykőrös Context triple: [Dunajská Streda, hasTwinTown, Nagykőrös]
-
A.
Nagykőrös
chosen
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
B.
Kiskőrös
Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
-
C.
Kőszeg
Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
-
D.
Nagykálló
Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
-
E.
Nagykörút
Nagykörút is a major semicircular thoroughfare in central Budapest, lined with historic buildings, shops, and public transport routes, and serving as one of the city’s key urban arteries.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1286808190949719f54ff49a01 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb63c80048190be87b41cdd4ac775 |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:44 p.m.