Triple
T3899957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krušné hory |
E90460
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Jáchymov |
E82197
|
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: Jáchymov | Statement: [Krušné hory, contains, Jáchymov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jáchymov Context triple: [Krušné hory, contains, Jáchymov]
-
A.
Jáchymov
chosen
Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
-
B.
Chomutovka
Chomutovka is a river in the Czech Republic that flows through the city of Chomutov before joining the Ohře River.
-
C.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
D.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
E.
Rychnov nad Kněžnou
Rychnov nad Kněžnou is a historic town in the northeastern Czech Republic known for its Renaissance chateau and location near the Orlické Mountains.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecf17ef4819083db0a22e24d5b89 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5337f3ae08190ba68fc20a3ba4692 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:21 p.m.