Triple
T11380611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremnica Mint |
E269582
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kremnica |
E931686
|
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: Kremnica | Statement: [Kremnica Mint, locatedIn, Kremnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kremnica Context triple: [Kremnica Mint, locatedIn, Kremnica]
-
A.
Kremnica
chosen
Kremnica is a historic Slovak town renowned for its medieval mining heritage and one of the world’s oldest continuously operating mints.
-
B.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
C.
Kriváň
Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
-
D.
Kysuce
Kysuce is a mountainous region in northwestern Slovakia known for its forests, traditional villages, and proximity to the Czech and Polish borders.
-
E.
Vodňany
Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e7580c508190a81eadd9015c75ef |
completed | April 21, 2026, 2:56 a.m. |
Created at: April 8, 2026, 9:34 p.m.