Triple
T14932559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litoměřice |
E372303
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Náchod |
E263301
|
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: Náchod | Statement: [Litoměřice, twinTown, Náchod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Náchod Context triple: [Litoměřice, twinTown, Náchod]
-
A.
Náchod
chosen
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
B.
Svidník
Svidník is a small town in northeastern Slovakia known for its World War II memorials, open-air museum of folk architecture, and its location in the culturally rich Šariš region.
-
C.
Pezinok
Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
-
D.
Žamberk
Žamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its picturesque setting in the Orlické Foothills and well-preserved architecture.
-
E.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d44044819088c86f46b02404ed |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 2:37 a.m.