Triple
T3846374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyšehrad |
E93578
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Vltava River |
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 River | Statement: [Vyšehrad, hasViewOf, Vltava River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vltava River Context triple: [Vyšehrad, hasViewOf, Vltava River]
-
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.
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.
-
C.
Váh River
The Váh River is the longest river in Slovakia, flowing from the Tatra Mountains through much of the country before joining the Danube.
-
D.
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.
-
E.
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.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5627ebbc48190914b663bab5e2a82 |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 9, 2026, 3:18 p.m.