Triple
T8722651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ústí nad Labem Region |
E207048
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Ohře |
E91943
|
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: Ohře | Statement: [Ústí nad Labem Region, containsRiver, Ohře]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohře Context triple: [Ústí nad Labem Region, containsRiver, Ohře]
-
A.
Ohře
chosen
The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
-
B.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
-
C.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
D.
Uherka
Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
-
E.
Háje
Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0609f48190adc56226724b16c6 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.