Triple
T11703548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galanta |
E278181
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bečej |
E424179
|
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: Bečej | Statement: [Galanta, hasTwinTown, Bečej]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bečej Context triple: [Galanta, hasTwinTown, Bečej]
-
A.
Bečej
chosen
Bečej is a town and municipality in northern Serbia, situated in the autonomous province of Vojvodina.
-
B.
Břeclav
Břeclav is a town in the South Moravian Region of the Czech Republic, known as a local transport hub and gateway to the Lednice–Valtice cultural landscape near the Austrian and Slovak borders.
-
C.
Znojmo
Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
-
D.
Bražec
Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
E.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af38e3548190a5192894932d9b1d |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:40 p.m.