Triple
T17717305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheb District |
E442231
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Teplá River |
—
|
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: Teplá River | Statement: [Cheb District, traversedBy, Teplá River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teplá River Context triple: [Cheb District, traversedBy, Teplá River]
-
A.
Teplá River
chosen
The Teplá River is a small river in western Bohemia, Czech Republic, best known for flowing through the famous spa town of Karlovy Vary.
-
B.
Svitava River
The Svitava River is a significant river in the eastern Czech Republic that flows through cities such as Brno before joining the Svratka River.
-
C.
Lužnice River
The Lužnice River is a significant river in South Bohemia, Czech Republic, known for its meandering course, natural wetlands, and popularity for canoeing and recreation.
-
D.
Sázava River
The Sázava River is a scenic tributary of the Vltava in the Czech Republic, known for its picturesque valleys, historic sites, and popularity for canoeing and recreation.
-
E.
Žitava River
The Žitava River is a river in southern Slovakia that flows through the Danubian Lowland before joining the Nitra River.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.