Triple
T12138821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berounka |
E289129
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Vltava |
E108852
|
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: Vltava | Statement: [Berounka, tributaryOf, Vltava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vltava Context triple: [Berounka, tributaryOf, Vltava]
-
A.
Vltava River
chosen
The Vltava River is the longest river in the Czech Republic, flowing through the capital city of Prague and serving as a central feature of its landscape and history.
-
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.
Havel River
The Havel River is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting numerous lakes and serving as an important route for transport and recreation.
-
D.
Žitava River
The Žitava River is a river in southern Slovakia that flows through the Danubian Lowland before joining the Nitra River.
-
E.
Hron River
The Hron River is a major river in central Slovakia that flows through mountainous regions including the Low Tatras before joining the Danube.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a531c62481908eac880e716cf55b |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 8, 2026, 9:49 p.m.