Triple
T16255962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bílina |
E394627
|
entity |
| Predicate | mouthLocatedIn |
P417
|
FINISHED |
| Object | Ústí nad Labem |
E128023
|
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: Ústí nad Labem | Statement: [Bílina, mouthLocatedIn, Ústí nad Labem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ústí nad Labem Context triple: [Bílina, mouthLocatedIn, Ústí nad Labem]
-
A.
Ústí nad Labem
chosen
Ústí nad Labem is an industrial city in the north of the Czech Republic, known as a major transport hub and river port in the Bohemian region.
-
B.
Ústí nad Orlicí
Ústí nad Orlicí is a town in the eastern Czech Republic known for its textile industry and location at the confluence of the Tichá Orlice and Třebovka rivers.
-
C.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
-
D.
Liberec
Liberec is a city in the northern Czech Republic known for its textile industry heritage, mountainous surroundings, and the landmark Ještěd Tower.
-
E.
Pardubice
Pardubice is a city in the Czech Republic known for its ice hockey tradition, historic center, and as the hometown of legendary NHL goaltender Dominik Hašek.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459a48f081909c76b38741b8f04e |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a88dc08190a78973bc71f179d4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:04 a.m.