Triple
T4797656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úhlava |
E106750
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Uhlava |
E106750
|
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: Uhlava | Statement: [Úhlava, hasNameVariant, Uhlava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uhlava Context triple: [Úhlava, hasNameVariant, Uhlava]
-
A.
Úhlava
chosen
Úhlava is a river in the Czech Republic that flows through the city of Plzeň and is one of the region’s notable waterways.
-
B.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
C.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
D.
Hodonín
Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
-
E.
Svatava
Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f8d9548190857910be4ffc2711 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.