Triple
T11380600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremnica |
E269582
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kremnica Mint complex |
E922382
|
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 Mint complex | Statement: [Kremnica, hasPart, Kremnica Mint complex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kremnica Mint complex Context triple: [Kremnica, hasPart, Kremnica Mint complex]
-
A.
Kremnica Mint
chosen
Kremnica Mint is one of the world's oldest continuously operating mints, renowned for producing coins and medals in the historic mining town of Kremnica, Slovakia.
-
B.
Krempna
Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
-
C.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
D.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
E.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
- 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_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.