Triple
T22277718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tichá Orlice |
E550649
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Orlice |
—
|
NE NERFINISHED |
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: Orlice | Statement: [Tichá Orlice, tributaryOf, Orlice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlice Context triple: [Tichá Orlice, tributaryOf, Orlice]
-
A.
Orlice
chosen
Orlice is a river in the Czech Republic that flows through the city of Hradec Králové and is a tributary of the Labe (Elbe) River.
-
B.
Orlice River
The Orlice River is a significant river in the Czech Republic that flows through eastern Bohemia and joins the Elbe near the city of Hradec Králové.
-
C.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
D.
Velké Poříčí
Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
-
E.
Zápotocký
Zápotocký is a Czech surname most notably borne by Antonín Zápotocký, a former president and prime minister of Czechoslovakia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea96948819081c1ae6c7b11ab62 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.