Triple
T8878347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kudowa-Zdrój |
E211344
|
entity |
| Predicate | locatedNear |
P294
|
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: [Kudowa-Zdrój, locatedNear, Náchod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Náchod Context triple: [Kudowa-Zdrój, locatedNear, 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.
Pezinok
Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Bruntál
Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
-
E.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121cb33188190b5b70020a041c18f |
completed | April 4, 2026, 2:35 p.m. |
Created at: March 30, 2026, 6:52 p.m.